Senior Python Data Scraping Engineer (Freelance)

**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.** 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. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. **What We Do** The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. 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. **Key Responsibilities:** - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. **Requirements:** - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. - Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are 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) - 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. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$25 per hour equivalent**, depending on their level and pace of contribution. Compensation…