20 hours ago
Remote, AustraliaSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Build and adapt scraping workflows for dynamic, JavaScript-rendered, interactive, and changing websites.
- Perform data collection, cleaning, normalization, validation, and cross-source consistency checks.
- Scale scraping operations through batching or parallelization while monitoring failures and maintaining stability.
- Handle anti-bot mechanisms and troubleshoot extraction problems independently.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web scraping experience with tools such as BeautifulSoup and Selenium, including dynamic content and APIs via proxies.
- Ability to extract data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience delivering structured datasets and performing data cleaning, normalization, and validation.
- Experience handling 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.
- 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 also a plus.
Benefits
- Fully remote freelance work based in Australia.
- 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, depending on level and pace of contribution.
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.