Embedded Systems Engineer Jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mission : The Sales Engineer infrastructure is responsible for leading and driving the sales team to achieve company revenue targets. This role includes setting strategic goals, managing the sales pipeline, and building strong client relationships. The ideal candidate will have proven experience in sales leadership, a strong understanding of sales processes, and the ability to motivate and inspire a team. The Sales Engineer infrastructure will play a critical role in developing sales strategies that align with business objectives and contribute to overall growth. Key Responsibilities and Accountabilities Develop effective sales strategies to drive revenue growth and market expansion. Take full ownership of the company s sales target, setting clear and measurable objectives for the team to ensure quarterly and annual targets are met or exceeded. Conduct regular reviews of sales targets, adjusting strategies as needed to ensure continuous progress. Conduct regular analysis of market trends, customer needs, and competitor activity to adjust strategies as needed. Oversee the management of the sales pipeline, ensuring accurate forecasting and alignment with targets. Track, analyze, and report on team metrics, such as lead conversion rates and average deal size, to ensure consistent progress towards goals.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Engineering degree or 5 years of higher education in : Civil engineering / Materials science / Process engineering /Industrial chemistry Key commercial skills Analysis of customer needs (companies, developers, construction, prefabrication) Ability to translate site requirements into technical concrete solutions B2B negotiation Customer portfolio management Drafting technical and commercial proposals Site monitoring &amp; technical after-sales service Concrete &amp; materials Drafting technical and commercial proposals Site monitoring &amp; technical after-sales service</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About ITRS At ITRS, we make society's critical technology work.<br> Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation.<br> We are the only monitoring and observability platform designed for the most demanding and regulated industries — trusted by 90% of Tier 1 capital markets firms.<br> We believe when our team thrives, so do our customers.<br> With us, you'll find: A culture that backs you – We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment.<br> Work that matters – Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks.<br> Room to grow – Whether you're starting your career or bringing years of experience, we're committed to your development.<br> Just ask our team members who've been excelling here for 10+ years.<br> With headquarters in London and teams across the US, Europe, and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity–backed global partner.<br> Scope of Role ITRS has a DevOps team that creates and supports its Continuous integration, build and similar systems.<br> We are now building its next generation observability platform with the capability to collect, store and analyse the vast amount of data generated by banks and financial institutions.<br> Crucial to the adoption of our product is a streamlined client deployment and management process.<br> With around 200 clients we are faced with different levels of complexity, automation, and sophistication in the deployment process – complexity which we need to take into account when developing, testing and marketing the product.<br> ITRS is looking to strengthening its DevOps team with an Engineer with experience in Kubernetes-based systems as well as a background in more standard software development DevOps.<br> As a Senior DevOps Engineer, you will: Report to our Engineering Manager and work with the Engineering team in developing a flexible DevOps infrastructure to help develop a data collection, storage and analytics platform and a user-centric application that enables the use and visualisation of data.<br> Work with Product, Engineering, TechComms, and Support to define, document, and promote best practices around deployment and management of the system.<br> Help clients and early adopters to deploy the stack.<br> Improve the manageability and supportability of the stack – this includes working with Product to define new features required to make the product easier to manage.<br> Actively participate in proposing, planning and implementing DevOps solutions.<br> Be an active part of the DevOps team that is supporting an Engineering team developing both the existing ITRS product and the new analytics-based platform, sharing best practices, providing support, sharing knowledge and generally collaborating to solve the most pressing issues at hand.<br> Group health insurance (or simply Group insurance, depending on context) Meal vouchers Performance bonus Referral Bonus Buy and Sell Holiday Training Reimbursement ITRS is an Equal Opportunity employer and Inclusion is part of our everyday life.<br> We celebrate diversity and pride ourselves on providing an environment where all employees can be their authentic selves and have a voice, allowing everyone to contribute equally.<br> We remain committed to advocating inclusion, diversity, and equality into our ITRS family as we grow and enrich our business.<br> We welcome applications from everyone in the community as we recognise that a diverse workforce is a stronger workforce.<br> 4+ years experience in cloud technologies (AWS, GCP, Azure, etc.<br>) Experience with Kubernetes or other similar orchestration technologies.<br> Experience with Linux system administration.<br> Experience with container technologies such as Docker.<br> Understanding of networking and TCP/IP.<br> Experience with configuration tools such as Ansible, Puppet, Chef.<br> Experience with VCS such as Git.<br> Experience with continuous integration tools such as Jenkins.<br> Infrastructure as Code (Terraform, etc.<br>) Configuration tools such Ansible, Puppet, Chef Knowledge of systems/networking security best practices</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Data Quality Engineer to play a key role in designing, implementing, and maintaining data quality frameworks that support our clients' data and analytics initiatives. The ideal candidate combines strong technical expertise in data quality management with the ability to understand business processes and translate requirements into scalable, maintainable, and governed data quality solutions. You will work closely with data architects, data engineers, business analysts, data governance teams, and business stakeholders to define data quality requirements, establish validation standards, and implement controls that ensure data accuracy, completeness, consistency, and reliability across enterprise data platforms. Key Responsibilities: Collaborate with business stakeholders, data architects, governance teams, and data engineers to gather and analyze data quality requirements. Design, develop, and maintain data quality frameworks, validation rules, and monitoring processes across enterprise data assets. Profile and analyze data sources to identify quality issues, anomalies, patterns, and improvement opportunities. Define, implement, and maintain data quality rules across key dimensions including completeness, accuracy, consistency, uniqueness, validity, and timeliness. Translate business requirements and critical data elements (CDEs) into measurable and actionable data quality controls. Design and implement automated data validation, reconciliation, and monitoring processes. Work closely with data integration and engineering teams to embed data quality controls within data pipelines and transformation processes. Support data governance initiatives through metadata management, data lineage documentation, data cataloging, and quality reporting. Monitor data quality performance indicators and investigate root causes of recurring data quality issues. Collaborate with business and technical teams to identify remediation actions and continuous improvement opportunities. Ensure compliance with organizational data governance standards, regulatory requirements, and industry best practices. Support data warehousing, reporting, and analytics initiatives by ensuring the availability of trusted and high-quality data assets. Participate in solution reviews and promote best practices related to data quality management and governance. Document data quality rules, validation logic, data flows, issue management processes, and technical specifications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications:</strong> Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field. Minimum 2 years of hands-on experience in data quality, data engineering, data governance, or related data management disciplines. <strong>Preferred Qualifications:</strong> Experience with enterprise data quality and data integration platforms such as Informatica IDMC, IICS, PowerCenter, and Informatica Data Quality (IDQ) . Familiarity with data cataloging, metadata management, and data governance platforms. Experience working within regulated environments and familiarity with Saudi NDMO and NDI requirements . Experience implementing data quality KPIs, scorecards, and monitoring dashboards. Familiarity with REST APIs, data ingestion frameworks, and modern cloud data platforms. Experience supporting CI/CD practices and deployment processes within data environments.</p><p><strong>What We Are Looking For:</strong> We are looking for someone who is passionate about improving data trust and reliability across the organization. The ideal candidate proactively identifies data quality risks, challenges assumptions, investigates root causes, and collaborates effectively with both business and technical teams to ensure that data remains accurate, consistent, governed, and fit for purpose.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Creates and reviews test technology local work instructions</p><p>Supports:</p><ul><li>test equipment and test tools development (design, test modules, specific processes, etc.)</li><li>technical error analyses for customer claims and complaints</li><li>the identification of root causes in case of process disturbances and searching for solutions</li></ul><p>Creates and develops the test sequences and programs according to requirements</p><ul><li>for building of test tables, test boards and vision tests, internally or externally</li><li>for installation and validation of test equipment</li><li>in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management)</li></ul><p>Ensures test programs and tests parameters used during initial setup</p><p>Provides feedback to Production Technology related to test modules functionality and design</p><p>Ensures backup of test programs and test parameters</p><p>Implements lessons learned, best practice and actively shares the information within the Production Management network</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University Degree</li><li>2 years in the automotive industry are appreciated</li><li>Microsoft Office</li><li>Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; result-orientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork</li><li>Equipment Maintenance /Preventative and Predictive Maintenance /Equipment Repair /Machine Operations /Machine Tools/Maintenance of electrical control panels and/or preparation</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>At Devoteam, we believe that technology, combined with strong human values, can<br> actively drive change for the better. Discover how Tech for People is shaping the future,<br> creating a positive impact on individuals and the world around us.</p><br><p><br> With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.</p><br><br>Job Description<br><p>We are seeking a highly skilled <strong>Data Quality Engineer</strong> to play a key role in designing, implementing, and maintaining data quality frameworks that support our clients' data and analytics initiatives. The ideal candidate combines strong technical expertise in data quality management with the ability to understand business processes and translate requirements into scalable, maintainable, and governed data quality solutions.<br> You will work closely with data architects, data engineers, business analysts, data governance teams, and business stakeholders to define data quality requirements, establish validation standards, and implement controls that ensure data accuracy, completeness, consistency, and reliability across enterprise data platforms.<br> <br> <br> <strong>Key Responsibilities:</strong></p><br><ul><li>Collaborate with business stakeholders, data architects, governance teams, and data engineers to gather and analyze data quality requirements.</li><li>Design, develop, and maintain data quality frameworks, validation rules, and monitoring processes across enterprise data assets.</li><li>Profile and analyze data sources to identify quality issues, anomalies, patterns, and improvement opportunities.</li><li>Define, implement, and maintain data quality rules across key dimensions including completeness, accuracy, consistency, uniqueness, validity, and timeliness.</li><li>Translate business requirements and critical data elements (CDEs) into measurable and actionable data quality controls.</li><li>Design and implement automated data validation, reconciliation, and monitoring processes.</li><li>Work closely with data integration and engineering teams to embed data quality controls within data pipelines and transformation processes.</li><li>Support data governance initiatives through metadata management, data lineage documentation, data cataloging, and quality reporting.</li><li>Monitor data quality performance indicators and investigate root causes of recurring data quality issues.</li><li>Collaborate with business and technical teams to identify remediation actions and continuous improvement opportunities.</li><li>Ensure compliance with organizational data governance standards, regulatory requirements, and industry best practices.</li><li>Support data warehousing, reporting, and analytics initiatives by ensuring the availability of trusted and high-quality data assets.</li><li>Participate in solution reviews and promote best practices related to data quality management and governance.</li><li>Document data quality rules, validation logic, data flows, issue management processes, and technical specifications.</li></ul><br>Qualifications<br><p>Required Qualifications:</p><br><ul><li>Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.</li><li><strong>Minimum 2 years of hands-on experience in data quality, data engineering, data governance, or related data management disciplines.</strong></li></ul><p><br> Preferred Qualifications:</p><br><ul><li>Experience with enterprise data quality and data integration platforms such as <strong>Informatica IDMC, IICS, PowerCenter, and Informatica Data Quality (IDQ)</strong>.</li><li>Familiarity with data cataloging, metadata management, and data governance platforms.</li><li>Experience working within regulated environments and familiarity with <strong>Saudi NDMO and NDI requirements</strong>.</li><li>Experience implementing data quality KPIs, scorecards, and monitoring dashboards.</li><li>Familiarity with REST APIs, data ingestion frameworks, and modern cloud data platforms.</li><li>Experience supporting CI/CD practices and deployment processes within data environments.</li></ul><p><br> <br> What We Are Looking For:<br> We are looking for someone who is passionate about improving data trust and reliability across the organization. The ideal candidate proactively identifies data quality risks, challenges assumptions, investigates root causes, and collaborates effectively with both business and technical teams to ensure that data remains accurate, consistent, governed, and fit for purpose.</p><br><br>Additional Information<br><p>Fluency in Arabic &amp; English is highly desirable</p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Define deliverables for each milestone or change window, ensuring clear objectives. Check and validate activities to reach milestones and resolve issues. Active participation in status / review meeting with stakeholders. Ensure communication and escalation within the program team and management. Identify, anticipate and manage technical discussion to drive for issues resolution. Ensure the availability of component s packages and coordinate development with interface components. Handle suppliers management in critical situations. Create and maintain projects overview. Coordinate Review and follow up development activities of components and data files to match Top Hat Milestone. Delegate responsibilities to appropriate stakeholders for efficient execution. Control cost, timing, performance, and quality to meet program targets. Document meeting outcomes (MoM) with key discussions, assigned actions, and next steps. Document lessons learned to improve future project execution. Guarantee on-time delivery.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Level : Engineer</li><li>Schools : Engineering Schools</li><li>Diploma :Electrical/Mechanical engineer</li><li>Option : Electrical/Mechanical</li><li>Required experience: Beginner/Junior</li><li>Languages : English/Frensh</li><li>Software skills : Problem solving,Time Management ,Communication, Team-work, Result-oriented (prioritize efficiency, performance, and productivity), Root-cause Analysis (Ability to synthesize and analyze),Decision-making, Leadership skills and Team Management.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Microsoft AI Engineer - CCoE, NA<br><b>Job Description:</b><p>As a Microsoft AI Engineer, you will support partners, internal teams and end customers across North America with the development, integration and implementation of AI agents. You will help translate customer needs into practical solutions, contribute to proof of concepts and quick developments, and guide stakeholders on how Microsoft technologies can be used to deliver effective AI agent outcomes.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li><p>Support partners, internal teams and end customers across North America with the development and integration of AI agents.</p><br><br></li><li><p>Contribute to proof of concepts, demos and quick/simple developments that show how AI agents can address customer challenges.</p><br><br></li><li><p>Engage in customer and partner discussions to understand business needs and help define the best implementation approach for AI agents.</p><br><br></li><li><p>Provide guidance on Microsoft technologies, including Microsoft Copilot, Copilot Studio and related AI capabilities.</p><br><br></li><li><p>Help partners identify relevant AI agent use cases and translate them into practical, commercially relevant solutions.</p><br><br></li><li><p>Collaborate with internal sales, technical and vendor teams to support AI-related opportunities and customer engagements.</p><br><br></li><li><p>Share knowledge, best practices and learnings around emerging AI agent topics with internal teams and partners.</p><br><br></li><li><p>Support customer-facing conversations by explaining technical concepts in a clear and accessible way.</p><br><br></li><li><p>Maintain awareness of developments in Microsoft AI technologies, security considerations and the broader AI agent landscape.</p><br><br></li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li><p>Good understanding of Microsoft technologies, with strong Microsoft knowledge preferred.</p><br><br></li><li><p>Microsoft Certified Frontier Transformation Engineer is strongly preferred. Willingness/ability to obtain certification is required.</p><br><br></li><li><p>Experience with Microsoft Copilot, Copilot Studio or similar AI agent technologies is required.</p><br><br></li><li><p>Some development skills, including the ability to create quick prototypes or use “vibe coding” approaches to support proof-of-concept work.</p><br><br></li><li><p>Understanding of AI agent development and integration; this is not a pure developer role, but the successful candidate should be comfortable discussing and shaping AI agent solutions.</p><br><br></li><li><p>Ability to support partners and customers in defining practical implementation approaches for AI agents.</p><br><br></li><li><p>Customer-facing experience is preferred, although candidates with the right attitude, strong communication skills and stakeholder engagement ability will also be considered.</p><br><br></li><li><p>Strong communication skills and the ability to engage confidently with internal teams, partners and customers across different countries and functions.</p><br><br></li><li><p>Additional Microsoft certifications would be a plus.</p><br><br></li></ul><br><p><b>Work Arrangement</b></p><br><br><p>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.&nbsp;</p><br><br><br><p><b>What's In It For You</b></p><br><br><p>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.&nbsp;That’s&nbsp;why we offer competitive financial compensation, including various compensation plans and a solid benefits package.&nbsp;</p><br><br><ul><li><p>Medical, Dental, Vision Insurance&nbsp;</p><br><br></li></ul><ul><li><p>401k, With Matching Contributions&nbsp;</p><br><br></li></ul><ul><li><p>Short-Term/Long-Term Disability Insurance&nbsp;</p><br><br></li></ul><ul><li><p>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options&nbsp;</p><br><br></li></ul><ul><li><p>Paid Time Off&nbsp;(including&nbsp;sick, holiday, vacation, etc.)&nbsp;</p><br><br></li></ul><ul><li><p>Tuition Reimbursement&nbsp;</p><br><br></li></ul><ul><li><p>Growth Opportunities&nbsp;</p><br><br></li></ul><ul><li><p>And more!&nbsp;</p><br><br></li></ul><br><p>#LI-EK1</p><br><br><br><b>Annual Hiring Range/Hourly Rate:</b><p>$138,900.00 - $200,000.00 OTE</p><br><br><br><p>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested. &nbsp;</p><br><br><b>Location:</b>US-CO-Colorado (Remote Employees)<br><br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Sales<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p><strong>LEONI is a global provider of products, solutions, and services for energy and data management in the automotive industry. With around 87,000 employees in 21 countries and EUR 5 billion in sales in 2024, we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</strong></p><br><p><strong>We believe that meaningful connections drive innovation and success. At LEONI, you will join a diverse, international, and collaborative team shaping the future of mobility, from autonomous driving to alternative drives and smart charging solutions.</strong></p><br><p><strong>Since mid‑2025, we have been part of the Luxshare Group, one of the world’s leading solution providers for consumer electronics, communications and data centers, automotive, and medical industries, based in China. Join us and help shape the future of connectivity together.</strong></p><br><br><br>Job Description<p>- Creates and reviews test technology local work instructions<br></p><br><p>- Supports: - test equipment and test tools development (design, test modules, specific processes, etc.) - technical error analyses for customer claims and complaints - the identification of root causes in case of process disturbances and searching for solutions<br></p><br><p>- Creates and develops the test sequences and programs according to requirements - for building of test tables, test boards and vision tests, internally or externally - for installation and validation of test equipment - in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management)<br></p><br><p>- Ensures test programs and tests parameters used during initial setup<br></p><br><p>- Provides feedback to Production Technology related to test modules functionality and design<br></p><br><p>- Ensures backup of test programs and test parameters<br></p><br><p>- Implements lessons learned, best practice and actively shares the information within the Production Management network</p><br><br><br>Qualifications and Experience<ul><li><strong><em>Level of Education :</em></strong>&nbsp;University Degree</li><li><strong>Branch of study :&nbsp;</strong>Electrical - Mechanical - Mechatronics or similar</li><li><strong>Experience :</strong>&nbsp;2 years in the automotive industry are appreciated&nbsp;</li><li><em><strong>IT:</strong></em>&nbsp;Microsoft Office</li><li><strong><em>Social competences:</em></strong>&nbsp;Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; result-orientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork</li><li><em><strong>Professional competences:</strong></em>&nbsp;Equipment Maintenance /Preventative and Predictive Maintenance /Equipment Repair /Machine Operations /Machine Tools/Maintenance of electrical control panels and/or preparation</li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design &amp; Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market &amp; Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></span> </div>