2 days ago
Remote, United Kingdom +5 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use tools and custom workflows for data collection, validation, and task execution.
- Extract data from dynamic and interactive websites, including JavaScript-rendered content, while adapting to changing site behavior.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
- Scale scraping operations through 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 experience with Python web scraping, including 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 structured datasets in CSV, JSON, or Google Sheets.
- Demonstrated 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.
- 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, part-time freelance 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.