4 days ago
Remote, United StatesSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use tools and custom workflows to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive web sources, including JavaScript-rendered content, while adapting to changing site behavior.
- Enforce data quality through validation, cross-source consistency checks, formatting controls, and systematic verification.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against 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, dynamic content, 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 structured formats such as CSV, JSON, and Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker in real workflows.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter applied to automation tasks.
- Upper-intermediate English proficiency (B2) or above is required.
- A bachelor’s or master’s degree in Engineering, Applied Mathematics, Computer Science, or a related technical field is a plus; a GitHub link is also a plus.
Benefits
- Remote freelance position with part-time project work estimated at approximately 10–20 hours per week during active phases.
- Compensation of up to $45 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.