Real Estate Sales 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 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"> <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"> <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>

<p>Are you curious, motivated, and forward-thinking? At FIS you ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. #LI-RB1 #LI-Hybrid About the team: The Operations Support team acts as a global team that ensures the support and integrity of FIS s MarketMap Realtime, Valdi Global Market Platforms and Protegent. The team is also responsible for second level support implementation. It drives internal implementation of projects and provide documentation. Our products provide flexible, cost-efficient access to comprehensive, global, real-time and historical data, news and analytics in a lightweight application. Helps firms quickly expand the data managed by integrating data from such vendors as S&amp;P, Thomson Reuters, IDC and MSCI. Our data integrity team works closely with our vendor partners to provide the cleanest data feed possible. What you will be doing: You will join an international team (Tunisia, France, Switzerland, USA) to support the client s requests by: Supporting over 120 stock exchanges. Ensuring real time server monitoring, availability and low latency for Market Data Servers. Maintaining more than 850 customer accounts hosted on more than 200 servers. Our main stakeholders are CX teams, DEV teams, Network/Infra team, Exchanges Project managers, Trading teams. Ensure Advanced Technical support. Drive Platform enhancements Projects: 2 DataCenters, 3 HUBS, 350+ Windows/Linux Servers and 4500+ components. Plan/Deploy new releases. Participate in Incident Management activities and Handle High Severity Incidents. What you bring: Good knowledge of Windows Server. Good experience in Incident Management and ITIL Process. New technologies discovery/learning. Good communication/human relationship. Good English level (sprint reviews, presentation, ). Added bonus if you have: MS Exchange Server knowledge. SQL Server knowledge. What we offer you: An attractive salary package and other bonuses as performance bonus, meals vouchers, transportation . Attractive range of benefits including private medical cover, dental cover, and travel insurance. Continuous development through our diversified training across core financial, sales and FIS solutions. A modern, international work environment and a dedicated and motivated, supportive team. A broad range of professional development possibilities, resources and opportunities. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice . Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Good knowledge of Windows Server.</li><li>Good experience in Incident Management and ITIL Process.</li><li>New technologies discovery/learning.</li><li>Good communication/human relationship.</li><li>Good English level (sprint reviews, presentation, ).</li><li>Added bonus if you have: MS Exchange Server knowledge. SQL Server knowledge.</li></ul>

<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>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>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> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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>

<p>About the role</p><p>-Further structure the Customer Support department, strengthen the monitoring and control of teams and ensure better quality of service on our two platforms.</p><p>Responsibilities:</p><p>- Ensure the monitoring and control of the activity of the CS teams.</p><p>- Supervise and support agents on a daily basis.</p><p>- Implement and deliver necessary training.</p><p>- Create, improve, and update various processes and procedures.</p><p>- Define and monitor KPIs and performance objectives.</p><p>- Monitor activity in real time and intervene as needed.</p><p>- Manage and track customer complaints and after-sales service.</p><p>- Monitor the quality of interactions with customers, particularly through reviewing recorded conversations and listening to recordings.</p><p>- Identify areas for improvement and implement the necessary actions to ensure high-quality service and work.</p><p>- Prepare and manage team schedules/leave requests.</p><p>- Prepare and share various reports related to Customer Support activity and performance.</p><p>Required profile</p><p>Experience:</p><p><br></p><p>- 3 to 5 years of experience in Customer Support/Customer Service.</p><p>- Experience in team management.</p><p>- Experience in a call center, delivery platform, e-commerce environment, or similar would be a significant asset.</p><p><br></p><p>Technical Skills:</p><p><br></p><p>- Strong understanding of KPI tracking and performance objectives.</p><p>- Proficiency in reporting and analysis tools.</p><p>- Ability to implement and monitor processes and procedures.</p><p>- Team scheduling and organization.</p><p>- Monitoring the quality of calls and interactions with customers.</p><p>- Ability to analyze complaints and identify root causes.</p><p>- Proficiency in Excel/Google Sheets.</p><p>- Excellent communication skills in French and English.</p><p><br></p><p>Soft Skills:</p><p><br></p><p>- Leadership and team management skills.</p><p>- Strong organizational skills and attention to detail.</p><p>- Analytical mindset and results-oriented.</p><p>- Excellent communication skills and ability to handle difficult situations.</p><p>- Responsiveness and ability to make quick decisions.</p><p>- Initiative and ability to suggest improvements.</p><p>- Customer-focused and service-oriented.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><br></li></ul>

<p><br></p><p>About the team: The Exchange Feed Handler team, responsible for the development and enhancement of Feed handlers connected to the financial exchanges across the globe (more than 60 different exchanges). The teamwork spans the full lifecycle of the product, from implementing new features and performance improvements to resolving production and internal bugs to ensure system reliability. Beyond the deliverables, the team plays a key cross-functional role, providing technical support and guidance to development teams across multiple sites, including Paris, Tunis and India. The team members are a collaborative and internationally minded team, working at the heart of a critical financial infrastructure.</p><p>What you will be doing:</p><p>Designing and implementing new features and enhancements to the Exchange Feed Handlers.</p><p>Investigating, debugging, and analyzing production bugs to ensure system stability and client satisfaction</p><p>Ensure proper product quality, by providing adequate unit tests</p><p>Programming with advanced C/C++ (real time, design pattern, templates, Multi-threaded applications)</p><p>Follow systematically our development process</p><p>Guiding and mentoring development team members across worldwide locations</p><p>Supporting production teams and clients by providing technical recommendations and clear explanations</p><p>What we offer you:</p><p>An attractive salary package and other bonuses as performance bonus, meals vouchers, transportation .</p><p>Attractive range of benefits including private medical cover, dental cover, and travel insurance.</p><p>Continuous development through our diversified training across core financial, sales and FIS solutions.</p><p>A modern, international work environment and a dedicated and motivated, supportive team.</p><p>A broad range of professional development possibilities, resources and opportunities</p><p>Work in motivated Development team using new technologies with IA</p><p><strong>Desired Candidate Profile</strong></p><p>Excellent debugging, analysis and code development skills</p><p>Good coding and documentation practices</p><p>Team player with good communication skills</p><p>Capacity of learning and using new technologies</p><p>Previous experience with Source Control</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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> What you’ll do </span><p>As a Commercial Intern, you will gain hands-on experience working with multiple customers, categories and brands. You will contribute to both individual and group projects, culminating in presentations to senior leadership at the end of the summer. You will own a strategic, customer-oriented project from start to finish, developing key skills in sales, analytics, and cross-functional collaboration.&nbsp;</p><br> <ul> <li>Collaborate with experienced sales professionals to develop customer-facing selling materials and presentations.&nbsp;</li> <li>Support the sales team with data analysis and insights reporting to inform strategic decisions.&nbsp;</li> <li>Apply analytical skills to uncover selling opportunities and contribute to revenue growth.&nbsp;</li> <li>Participate in both individual and group projects, presenting findings and recommendations to leadership.&nbsp;</li> <li>Gain exposure to a variety of brands and categories, enhancing your understanding of customer dynamics.&nbsp;</li> <li>Own and drive a strategic project from concept to completion&nbsp;</li> </ul> <br><br> <span> What makes you a good fit </span> <ul> <li>An undergraduate student graduating in 2027 or 2028 pursuing a degree in Business, Marketing, Strategy, or&nbsp; Communications</li> <li>Analytical Thinking &amp; Data Interpretation: Ability to analyze large datasets, extract insights, and present findings clearly</li> <li>Proficiency in Excel and PowerPoint; experience with PowerBI is a plus &nbsp;</li> <li>Communication &amp; Collaboration: Comfortable working across teams and communicating with stakeholders of all levels</li> <li>Detail-Oriented &amp; Organized: Skilled at managing multiple tasks accurately in a fast-paced environment&nbsp;</li> <li>Adaptability &amp; Learning Agility: Eager to take on new challenges and learn new systems&nbsp;</li> </ul> <span> Some perks of joining Henkel as an intern </span> <ul> <li><span> Exciting projects that allow you to make real impact and collaborate with Henkel colleagues worldwide. </span></li> <li><span>Countless learning opportunities available through Henkel’s online learning platform with over 9,000 professional courses. <br></span></li> <li><span> Networking events with Henkel business leaders, experts and sustainability ambassadors. <br></span></li> <li><span> Ongoing feedback discussions throughout the internship that allow you to accomplish concrete goals. <br></span></li> <li><span> In-person and virtual social events to connect with other Henkel interns across the country. <br></span></li> </ul> <p><span> <strong>Following your internship, you may be invited to join Henkel as a returning intern or full-time employee. &nbsp;&nbsp;</strong></span></p><br> <span> Additional information </span> <ul> <li>This internship is NOT eligible for a housing stipend or relocation support. &nbsp;</li> <li>This internship has a duration of May 24th – August 13th&nbsp;&nbsp;</li> <li>Recruitment for our 2027 internships starts in September 2026 and runs through early March 2027 or until all our positions are filled&nbsp;&nbsp;</li> <li>If selected to move forward in our recruitment process, you will receive an email from our talent acquisition team.  &nbsp;</li> <li>If a position you applied to is filled by another candidate, you will receive an email from our team alerting you that the position is closed.  &nbsp;</li> </ul> <p><span> The salary for this role is $22 – $27/hour.&nbsp;This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future. &nbsp;</span></p><br> <p><span> Henkel is an equal opportunity employer. We evaluate qualified&nbsp;applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. &nbsp;</span></p><br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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> For this project, tasks are estimated to require around 25-30 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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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> For this project, tasks are estimated to require around 25-30 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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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> For this project, tasks are estimated to require around 25-30 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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 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>

<p> <strong>About Vneuron and Reis RCS</strong> </p> <p> <strong>Vneuron</strong> is a leading RegTech company at the forefront of transforming financial crime compliance. Our advanced solution, <strong>Reis RCS</strong>, streamlines risk management, enhances AML and sanctions screening, and ensures regulatory compliance through real-time monitoring, AI-powered risk detection, and seamless case management.</p> <p>In 2025, Vneuron earned recognition as one of the <strong>Top Innovators in the FinCrimeTech50</strong>, was awarded <strong>Best Compliance as a Service Solution</strong> award at the <strong>RegTech Insight Awards Europe</strong>, and was named to the <strong>AIFinTech100 2025</strong> list. For the fourth consecutive year, weve been honored in the <strong>RegTech100</strong>, a global list of the most innovative companies in the industry.</p> <p>At <strong>Vneuron</strong>, were shaping the future of compliance and financial crime prevention. Join us in making a real impact in the world of RegTech.</p> <p> <br> <strong>Our Culture &amp; Values</strong> </p> <p>Vneuron puts the development of its team at the heart of its priorities. We provide a <strong>pleasant and comfortable work environment.</strong> Our organizational structure is <strong>flat</strong> and <strong>collaborative,</strong> and our management is <strong>available </strong>and <strong>present.</strong> </p> <p>We invite you to be part of a passionate and committed <strong>young</strong> team who values respect and sharing spirit. You will be surrounded by highly <strong>skilled technical and functional experts</strong> willing to guide you to evolve in all aspects of your career.</p> <p>We believe that every person is unique and special. Thus, we provide <strong>attentive and active listening to your ideas</strong> and propositions as we believe that you will have an essential role in achieving our next milestone and shaping the future of Vneurons value proposition.</p> <p> <strong> <br>THE ROLE<br> </strong>The Legal, Risk &amp; Compliance Lead is a strategic leadership position at the core of Vneuron's governance. You drive the company's legal and compliance strategy, guide high-stakes regulatory decisions, and represent Vneuron with authorities, clients, and partners. This role requires a dual posture: architect of internal compliance and operational legal counsel, within a fast-growing international RegTech environment.</p> <p> <strong> <br>KEY RESPONSIBILITIES</strong> </p> <p> <strong>1. Compliance &amp; Risk Strategy</strong> </p> <ul> <li> <p>Define and drive the group-wide compliance strategy</p> </li> <li> <p>Identify, assess, and arbitrate high-impact compliance risks</p> </li> <li> <p>Oversee the risk map and ensure its continuous update</p> </li> <li> <p>Design and evolve compliance tools, internal controls, and policies</p> </li> <li>Lead national and international regulatory monitoring; anticipate impacts and propose adaptation plans</li> <li>Manage relationships with regulatory authorities as the company's primary contact</li> <li>Establish and promote a strong ethical culture within Vneuron</li> </ul> <p> <br> </p> <p> <strong>2. Reporting, Governance &amp; Committees</strong> </p> <ul> <li>Build and lead compliance and risk reporting for internal governance (Executive Committee, governance bodies)</li> <li>Lead periodic internal and client-facing compliance reports</li> <li>Chair or co-lead governance, risk, and compliance committees</li> <li>Ensure traceability and documentation of compliance activities</li> </ul> <p> <br> </p> <p> <strong>3. Legal, Contractual &amp; Advisory</strong> </p> <ul> <li>Secure the legal and compliance workstream in tenders: review of RFPs and RFIs, completion of client and prospect compliance and security questionnaires, qualification of requested commitments, and contractual Go/No-Go arbitration</li> <li>Lead drafting, review, and negotiation of strategic contracts (sales, partnerships, SaaS)</li> <li>Oversee contractual obligations and sensitive client relationship management</li> <li>Act as the go-to legal counsel for all departments (product, sales, technical, finance)</li> <li>Drive Vneuron's compliance with its own regulatory obligations: GDPR and data protection, ICT third-party service provider obligations under DORA, AI system provider obligations under the AI Act, and information security</li> </ul> <p> <br> </p> <p> <strong>4. Leadership &amp; Function Building</strong> </p> <ul> <li>Contribute to the structuring and development of the compliance/legal function in line with company growth</li> <li>Work closely with the Executive Committee on regulatory matters</li> </ul> <p> <strong> <br>Education</strong> </p> <ul> <li>Master's degree in Law</li> <li>A dual legal and technical/financial/risk management background is a strong asset</li> </ul> <p> <strong> <br>Experience</strong> </p> <ul> <li>A minimum of 8 years of experience in business law, contract law or compliance, gained in-house, in private practice, or in software publishing</li> <li>Significant exposure to multi-jurisdictional environments (Europe, Africa, MENA)</li> <li>Proven experience managing regulatory authorities and institutional clients</li> <li>Experience conducting complex contractual negotiations</li> </ul> <p> <br> </p> <p> <strong>Skills &amp; Qualities</strong> </p> <ul> <li>Working command of the frameworks applicable to a software vendor serving financial institutions: GDPR, DORA as an ICT third-party service provider, the AI Act as an AI system provider, and information security standards such as ISO 27001</li> <li>Sound understanding of the AML/CFT and sanctions environment our clients operate in; hands-on AML/CFT subject-matter expertise is not expected for this role</li> <li>Strategic thinking, ability to synthesize, and decision-making under pressure</li> <li>Excellent communicator, able to simplify complex topics for varied audiences</li> <li>Rigorous, autonomous, and discreet in handling sensitive matters</li> <li>Comfortable with AI tools and RegTech technologies for monitoring and documentation</li> <li>French/English bilingualism required; Arabic or a third language is a plus</li></ul> <p> </p>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job description Ready to enter the exciting world of B2B services? Discover VEO Worldwide, your gateway to a dynamic career! For 19 years, we have been revolutionizing the business sector in Europe. Our adventure began when NOZ, the European leader in clearance sales, started expanding into Eastern Europe and Africa in 2006. We were immediately inspired by their vision and dynamism. At VEO, we are committed to finding innovative solutions to help companies make the most of their unsold stock, such as past-season collections, short-dated products, and canceled orders. Efficiency is our watchword! And that's not all: we have offices in 9 countries, and we are delighted to announce the opening of a new office in India in 2024! Join us and become part of a team committed to values ​​such as dedication, transparency, solidarity, continuous improvement, and competence. These values ​​are not just words; they guide everything we do. Let's make a difference together! We are looking to strengthen our Sousse team and are recruiting a French-speaking Purchasing Assistant. Main responsibilities: Manage the launch and monitoring of orders for consumables and equipment necessary for the smooth operation of the stores. Follow up with suppliers to ensure the receipt of late orders. Organize and carry out the transfer of equipment requested by customers. Create and set up equipment inventories for new stores upon their opening. Supervise and ensure compliance with annual scale certifications. Receive orders in the SAP system. Integrate new equipment into the SAP database. Ensure the processing and monitoring of purchase-related invoices. Work location: Sousse. Job requirements: Profile: University degree holder. Good level of French (minimum B2). Experience in a similar position preferred. Excellent telephone communication skills and a strong customer service orientation. Organized, detail-oriented, and rigorous. Analytical/versatile, teamwork, stress management. Knowledge of Excel is required. SAP is a plus. Benefits: Permanent employment contract. Work in an environment where you have the chance to stand out and real opportunities for professional development. Possibility of travel. Attractive salary package.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">University degree required. Good level of French (minimum B2). Experience in a similar role preferred. Excellent telephone manner and customer service skills. Organized, detail-oriented, and rigorous. Analytical and versatile. Team player. Able to manage stress. Proficiency in Excel is required. SAP experience is a plus.</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About OTGS At OnTheGoSystems, we build products used by hundreds of thousands of websites worldwide.<br> We're a fully remote, international team that values ownership, curiosity, and high engineering standards.<br> We use AI every day to solve real problems and build software that makes a difference.<br> About the role We're looking for a developer who can do impressive work end-to-end – from idea to shipped, working software – using AI as a system, not as a chat window.<br> You take full ownership of the software you build.<br> You design AI workflows and validation checks, ensure quality, monitor how your software performs in production, and continuously improve both the product and the way AI helps you build it.<br> You'll work on real AI systems used by customers around the world and directly influence how we measure and improve machine translation quality.<br> This role is ideal for someone who enjoys exploring difficult questions, testing ideas, and discovering insights that aren't immediately obvious.<br> You'll have the freedom to propose your own analyses and the responsibility to turn them into evidence-based recommendations.<br> What we offer 100% remote position, Body and Mind Movement program to fill you up with energy, A computer budget to make your workplace better, A Kindle device with access to our company Amazon account, We respect national holidays in each country and want you to have a rest these days, Great opportunity to progress and advance, Collaborating with team members across the globe.<br> Experience with Ruby on Rails or other back-end languages and frameworks.<br> Profound SQL experience – comfortable designing schemas and writing complex queries.<br> A habit of testing your own work and genuine care about the quality of what you ship.<br> Real, hands-on experience using AI as a system to do end-to-end work, with something impressive to show for it.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<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> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> 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 $35 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> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>