Mindrift

Senior Python Data Scraping Engineer (Freelance)

Mindrift
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22 hours ago
Remote, Romania +3 moreSenior

Responsibilities

  • Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
  • Use custom workflows and tools to accelerate data collection, validation, and task execution.
  • Extract data from dynamic and interactive websites, including JavaScript-rendered content and changing site structures.
  • Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
  • Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain workflow stability.

Requirements

  • At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
  • Strong Python web scraping experience using 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 CSV, JSON, or Google Sheets formats.
  • 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 or OpenRouter in automation tasks.
  • Upper-intermediate English proficiency at B2 level or above.
  • A GitHub link is a plus; a relevant technical degree is a plus.

Benefits

  • Remote freelance work with an estimated 10–20 hours per week during active project phases.
  • Compensation of up to $40 per hour equivalent, depending on level and pace of contribution.

Tech Stack

Categories

Data Engineering
Mindrift

About Mindrift

1,001-5,000 employees

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.

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