4 days ago
Remote, United States or Oklahoma City, OK, USASenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use custom workflows and tools to collect, validate, and process data efficiently.
- Extract data from JavaScript-rendered and interactive sources while adapting to changing site behavior.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification.
- Scale scraping operations through 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 Python web scraping experience with 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 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 LangChain, OpenRouter, or similar LLM frameworks for automation tasks.
- Strong attention to detail, independent troubleshooting ability, and English proficiency at Upper-intermediate (B2) level or above.
- A GitHub link is a plus; a bachelor's or master's degree in engineering, applied mathematics, computer science, or a related technical field is a plus.
Benefits
- Remote, part-time freelance project.
- Estimated workload of 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.