20 hours ago
Remote, Costa Rica +3 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use Python scraping tools and custom workflows to collect, validate, normalize, and process data.
- Extract information from JavaScript-rendered and interactive sources, adapting to changing site behavior and dynamic structures.
- Handle anti-bot mechanisms and maintain reliable extraction at scale.
- Apply validation, formatting, cross-source consistency checks, and systematic verification to ensure data quality.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against minor 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 delivery in structured formats such as CSV, JSON, and 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 and OpenRouter for automation tasks.
- English proficiency at Upper-intermediate (B2) level or above.
- A GitHub link is a plus; a relevant bachelor's or master's degree is also a plus.
Benefits
- Remote freelance, part-time project opportunity.
- Estimated workload of approximately 10–20 hours per week during active project phases, with no guaranteed workload.
- Compensation of up to $25 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.