17 hours ago
Remote, United States +4 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use custom tools and workflows to collect, validate, and process data efficiently.
- Extract data from JavaScript-rendered and interactive websites, including dynamic and changing site structures.
- Apply data validation, cross-source consistency checks, formatting controls, and systematic verification.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain workflow stability.
- Handle anti-bot mechanisms and troubleshoot scraping and automation issues independently.
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 hierarchies, archived pages, and inconsistent HTML structures.
- Experience with data cleaning, normalization, validation, and structured outputs such as CSV and JSON.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter in automation tasks.
- Upper-intermediate English proficiency at B2 level or above is required.
- 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.
Benefits
- Remote freelance engagement with an estimated 10–20 hours per week during active project phases.
- Part-time work with workload based on project requirements and no guaranteed hours.
- Compensation can reach up to $45 per hour equivalent, depending on contribution level and 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.