18 hours ago
Remote, United StatesSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate structured datasets.
- Use custom workflows and technical tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive sources, including JavaScript-rendered content, while adapting to changing site behavior.
- Apply validation checks, cross-source consistency controls, formatting standards, and systematic verification to ensure data quality.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against site structure 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, including 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, and validation, delivering structured datasets in CSV, JSON, or 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, OpenRouter, or similar for automation tasks.
- Upper-intermediate English proficiency at B2 level or above.
- 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 work with an estimated 10–20 hours per week during active project phases.
- Part-time project engagement with workload dependent on project requirements and active phases.
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.