20 hours ago
Remote, Morocco +5 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use scraping tools and custom workflows for data collection, validation, and task execution.
- Extract data from dynamic and interactive sources, including JavaScript-rendered pages and changing site structures.
- Apply data quality controls such as validation, cross-source consistency checks, formatting compliance, and systematic verification.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against minor site changes.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web scraping experience with BeautifulSoup, Selenium or similar tools, including dynamic content, APIs, proxies, JavaScript, AJAX, and infinite scroll.
- Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and structured outputs such as CSV, JSON, and Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with cloud infrastructure such as AWS and containerization with Docker.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- English proficiency at Upper-intermediate (B2) level or above.
- A bachelor’s or master’s degree in Engineering, Applied Mathematics, Computer Science, or a related technical field is preferred but not required; a GitHub link is a plus.
Benefits
- Remote freelance and part-time opportunity.
- Estimated workload of 10–20 hours per week during active project phases, with no guaranteed workload.
- Compensation of up to $25 per hour equivalent, depending on level and pace of contribution.
Tech Stack
Categories
Data Engineering
About Mindrift
Mindrift builds an expert-sourcing platform that connects domain specialists to project-based work training and evaluating generative AI models, including supervised fine-tuning, RLHF, evaluation, and red-teaming. It is built and operated by Toloka, part of Nebius Group, and run from Amsterdam, Netherlands. Work is fully remote and freelance, serving global technology companies developing and improving large AI systems.