20 hours ago
Remote, United States +3 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate structured datasets.
- Use Python scraping tools and custom workflows to collect, validate, and process data from dynamic and interactive web sources.
- Adapt scraping approaches for JavaScript-rendered content, changing site structures, inconsistent HTML, archived pages, and anti-bot mechanisms.
- Apply data cleaning, normalization, cross-source consistency checks, formatting controls, and systematic verification.
- Scale large scraping operations through efficient batching or parallelization, monitor failures, and maintain workflow stability.
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 and APIs via proxies.
- Ability to extract data from complex structures and deliver cleaned, normalized, and validated CSV, JSON, or Google Sheets datasets.
- 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.
- 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 opportunity with an estimated 10–20 hours per week during active project phases; workload is not guaranteed.
- Compensation is listed as up to $45 per hour equivalent, depending on contribution level and pace.
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.