20 hours ago
Remote, Italy +5 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, reliable structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive sources, including JavaScript-rendered content, AJAX, infinite scroll, and changing site structures.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification before delivery.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against site changes.
- Handle anti-bot mechanisms and use LLM frameworks for automation tasks.
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, validation, and delivery in structured formats including CSV, JSON, or Google Sheets.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization in real workflows.
- Hands-on experience with LangChain, OpenRouter, or similar LLM frameworks applied to automation.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- 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 preferred, and a GitHub link is a plus.
Benefits
- Remote freelance engagement.
- Part-time project workload estimated at approximately 10–20 hours per week during active phases, with no guaranteed workload.
- Compensation is described as up to $40 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.