22 hours ago
Remote, EMEA +6 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver 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, AJAX, and infinite-scroll pages.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification before delivery.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability despite site changes.
- Handle anti-bot mechanisms and changing website structures at scale.
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 such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and delivery in CSV, JSON, or Google Sheets.
- 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 at B2 level or above.
- 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 a plus.
- Ability to work independently, troubleshoot technical issues, and maintain strong attention to data accuracy.
Benefits
- Remote freelance work on a part-time project.
- Estimated workload of approximately 10–20 hours per week during active project phases, without guaranteed workload.
- Compensation of up to $40 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.