17 hours ago
Remote, United States +3 moreSenior
Responsibilities
- Own end-to-end extraction workflows across complex websites and deliver complete, accurate structured datasets.
- Use custom workflows and available tools to accelerate data collection, validation, and task execution.
- Extract reliably from dynamic and interactive sources, including JavaScript-rendered content and changing site structures.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
- Scale scraping operations through efficient 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 BeautifulSoup, Selenium or similar tools, 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 of structured datasets.
- Demonstrated experience with anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker in real workflows.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- Strong attention to detail, independent troubleshooting ability, and self-directed work ethic.
- Upper-intermediate English proficiency (B2) or above is required.
- A technical bachelor's or master's degree and a GitHub link are pluses.
Benefits
- Fully remote freelance work.
- Part-time project workload estimated at approximately 10–20 hours per week during active phases, with no guaranteed workload.
- Compensation of up to $45 per hour equivalent, varying by project scope, complexity, expertise, and contribution 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.