4 days ago
Remote, Chile +5 moreSenior
Responsibilities
- Own end-to-end extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use scraping tools and custom workflows to collect, validate, and process data efficiently.
- Extract data from dynamic and interactive sources, including JavaScript-rendered content, while adapting to changing site behavior.
- Apply validation, cross-source consistency checks, formatting standards, and systematic verification before delivery.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against minor website changes.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web scraping experience with tools such as BeautifulSoup and Selenium, including dynamic content, JavaScript, AJAX, infinite scroll, and APIs via proxies.
- Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and delivery in CSV, JSON, or Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- Strong attention to detail, independent troubleshooting ability, and a self-directed work ethic.
- Upper-intermediate English proficiency at B2 level or above is required.
- A GitHub link and a Bachelor’s or Master’s degree in Engineering, Applied Mathematics, Computer Science, or a related technical field are pluses.
Benefits
- Freelance, remote, part-time project opportunity.
- Estimated workload of approximately 10–20 hours per week during active project phases; workload is not guaranteed and applies only while the project is active.
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.