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<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"> <p>As a Senior Microsoft Fabric – Power BI Data Engineer, you will play a key role in building and evolving reusable, product‑oriented data and analytics solutions on Microsoft Fabric. You will work hands‑on from data ingestion and Python‑based transformations to analytics‑ready data models and Power BI semantic layers. You will design well‑structured, high‑quality Fabric reports and analytics, with strong attention to usability, clarity, and performance.</p><br><br><p>You will ensure solutions are scalable, maintainable, and standardized, avoiding one‑off custom implementations. You will apply strong engineering practices, using Git and GitHub to manage, review, and promote changes within Fabric, while collaborating closely with business and technical stakeholders to deliver trusted data products.</p><br><br><p><b>Key Responsibilities:</b></p><br><br><ul><li>Reporting &amp; Data Products (Power BI/Fabric)<ul><li>Build end to end Power BI solutions:<ul><li>Semantic models</li><li>DAX measures</li><li>Dashboards and reports</li></ul></li><li>Focus on product thinking:<ul><li>Generic datasets reusable by multiple consumers</li><li>Clear contract between data model and reports</li></ul></li><li>Ensure reports are:<ul><li>Performant</li><li>Maintainable</li><li>Aligned with business KPIs</li><li>Aligned to the designed UI/UX</li></ul></li></ul></li><li>Data Modeling (Analytics Ready)<ul><li>Design scalable analytical models meant to be reused across reports:<ul><li>Star schemas (facts &amp; dimensions)</li><li>Conformed dimensions and standardized KPIs</li></ul></li><li>Optimize models for:<ul><li>Performance</li><li>Governance</li><li>Long term evolution</li></ul></li></ul></li><li>Data Engineering &amp; Transformation (Microsoft Fabric)<ul><li>Design and implement reusable data pipelines using:<ul><li>Microsoft Fabric Lakehouse</li><li>Dataflows Gen2</li><li>Notebooks (Python / PySpark)</li></ul></li><li>Build production ready transformations in Python:<ul><li>Data cleansing, enrichment, aggregations</li><li>Incremental loads, idempotent logic</li><li>Basic data quality and validation checks</li></ul></li><li>Apply Medallion architecture principles (Bronze / Silver / Gold)</li></ul></li><li>Engineering Practices &amp; Product Mindset (Key Requirement)<ul><li>Work with a product oriented approach:<ul><li>Standardized data models and pipelines</li><li>Avoid one off custom logic per consumer</li><li>Favor configuration over customization</li></ul></li><li>Apply software engineering best practices to data:<ul><li>Modular code</li><li>Naming conventions</li><li>Documentation</li></ul></li><li>Contribute to shared patterns and internal data products</li></ul></li><li>Git, GitHub &amp; CI/CD Integration<ul><li>Use Git and GitHub as the default way of working:<ul><li>Version control for notebooks, semantic models and pipelines</li><li>Proper branching and pull requests</li></ul></li><li>Work with GitHub integrated Microsoft Fabric:<ul><li>Code changes tracked and reviewed</li><li>Collaboration through PRs</li></ul></li><li>Basic understanding of:<ul><li>CI/CD concepts for data &amp; Power BI</li><li>Promotion of changes across environments (dev / test / prod)</li></ul></li></ul></li></ul><p><b>Must‑Have</b></p><br><br><ul><li><b>5+ years</b>' experience in data, BI or analytics roles</li><li>Strong hands‑on experience with:<ul><li><b>Microsoft Fabric</b></li><li><b>Power BI</b> (semantic model, DAX, reporting)</li><li><b>Python</b> for data transformation (Pandas, basic PySpark)</li><li><b>SQL</b></li></ul></li><li>Solid understanding of:<ul><li>Data modelling for analytics</li><li>Data warehouse / Lakehouse concepts</li></ul></li><li>Experience using <b>Git</b> in a professional environment</li><li>Engineering mindset applied to data (not only reporting)</li></ul><br><p><b>Nice to Have (</b>Not Mandatory)</p><br><br><p>• Experience with Azure cloud services </p><br><br><p>• Exposure to: </p><br><br><p>o CI/CD pipelines (GitHub Actions, Azure DevOps)</p><br><br><p>Microsoft Fabric expertise is a plus, but we value strong fundamentals and engineering discipline above buzzwords.</p><br><br><p><span><b>Collaborate with</b>:</span></p><br><br><ul><li><span>Architects</span></li><li><span>Product owners</span></li><li><span>Lead Engineers</span></li><li><span>Business stakeholders</span></li></ul><p><span>&nbsp;Challenge requirements that lead to:</span></p><br><br><ul><li><span>Over‑customization</span></li><li><span>Unmaintainable solutions</span></li></ul><p>&nbsp;Promote <b>long‑term platform quality</b> over short‑term quick fixes<br></p><br><br><p><span><i>About FNZ</i></span></p><br><br><p><span><i>FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.&nbsp;</i></span></p><br><br><p><span><i>We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.&nbsp;</i></span></p><br><br><p><span><i><span>We partner with the world’s leading financial institutions, with over US$2.5 trillion in assets on platform (AoP).<br>Together with our clients, we empower nearly 30 million people across all wealth segments to invest in their future.</span></i></span></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: 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 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>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>

<p>Architect, develop, and maintain modern web applications using Next.js 15, leveraging App Router, Server Components, and server-side rendering (SSR) capabilities. Design and implement real-time user experiences using technologies such as Server-Sent Events (SSE) and WebSocket-based communication. Build scalable, schema-driven forms and multi-step workflows using modern validation frameworks and reusable UI patterns. Own application state management, authentication integration, and API communication layers to deliver secure and seamless user experiences. Design, develop, and integrate extensible mini-application frameworks, including secure sandboxing, dynamic module loading, and application verification mechanisms. Create, customize, and deploy AI-powered agents using vibecoding UI templates and platform development tooling. Collaborate with cross-functional teams to deliver responsive, high-quality, and innovative digital solutions that meet business objectives.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 5+ years of professional experience developing modern web applications using TypeScript and React.</li><li>Strong expertise in React development, including hooks, context API, component architecture, and server component patterns.</li><li>Hands-on experience with Next.js App Router, SSR, API routes, middleware, streaming, and modern frontend application architectures.</li><li>Proven experience implementing and maintaining scalable state management solutions, such as Redux Toolkit or equivalent technologies.</li><li>Experience building user interfaces with Tailwind CSS and modern component libraries such as Radix UI, shadcn/ui, or similar frameworks.</li><li>Solid understanding of real-time communication protocols, including SSE, WebSocket technologies, and event-driven UI development patterns.</li><li>Familiarity with Docker-based development workflows, CI/CD pipelines, and Kubernetes fundamentals.</li><li>Knowledge of AI-powered user experiences, LLM integrations, and agent-driven interaction models.</li></ul>