22 hours ago
Remote, Bosnia and Herzegovina +5 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Build and adapt scraping workflows for dynamic and interactive web sources, including JavaScript-rendered content and changing site behavior.
- Use tools and custom workflows to accelerate data collection, validation, and task execution.
- Apply data-quality checks, cross-source consistency controls, formatting standards, and systematic verification.
- 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 Python web-scraping experience with tools such as BeautifulSoup and Selenium, including dynamic content, AJAX, infinite scroll, 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 structured outputs including 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 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 GitHub link and a bachelor's or master's degree in a relevant technical field are a plus.
Benefits
- Remote, part-time freelance project engagement.
- Estimated workload of 10–20 hours per week during active project phases, with no guaranteed workload.
- Opportunity to work on specialized data-scraping workflows supporting AI development projects.
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.