Mindrift
Mindrift
Mindrift — технологиялық компаниялардың жасанды интеллектіні оқыту және бағалау жобаларына кәсіби үлес қосушылар мен салалық сарапшыларды біріктіретін жасанды интеллект мамандарының нарығы және SaaS платформасы. Toloka құрамында жұмыс істей отырып, ол жазушылармен, редакторлармен, сапаны бақылау мамандарымен, ғалымдармен және басқа да пәндік сарапшылармен ынтымақтасады. Бұл мамандар оқыту деректерін жасайды, модельдердің қауіпсіздігі мен пайымдау қабілетін бағалайды, медиа сапасын тексереді және жасанды интеллектінің өнімділігі мен сенімділігін арттыру үшін шынайы өмірдегі сценарийлерді әзірлейді. Mindrift үлес қосушыларды бағалау және жеке басын растау рәсімдері арқылы іріктеп, тексереді, содан кейін жасанды интеллектіні оқыту және бағалау бағыттарында икемді, ақылы жобалар ұсынады.

Senior Python Data Scraping Engineer — Remote in the Philippines

Mindrift is seeking a senior Python engineer to build dependable scraping workflows for AI projects. The role focuses on extracting, validating, and scaling structured data from complex, dynamic websites.

Сипаттама

  • Manage complete data extraction processes across complex websites
  • Produce structured datasets that are thorough, accurate, and dependable
  • Apply tools and tailored workflows to speed up collection, validation, and task delivery
  • Collect information from dynamic and interactive sources, including JavaScript-rendered pages
  • Adjust scraping methods as website behavior and structures evolve
  • Protect data quality through validation, cross-source checks, formatting rules, and systematic review
  • Scale large-volume scraping with efficient batching and parallel processing
  • Track extraction failures and preserve workflow stability through minor website changes

Талаптар

  • Bring at least five years of relevant experience in data engineering, web scraping, automation, or software development
  • A bachelor’s or master’s degree in engineering, applied mathematics, computer science, or a related technical discipline is preferred
  • Demonstrate strong Python scraping experience with BeautifulSoup, Selenium or comparable tools, dynamic content, and proxied APIs
  • Extract information from complex sources such as hierarchies, archived pages, and inconsistent HTML
  • Clean, normalize, and validate data for delivery in CSV, JSON, or Google Sheets formats
  • Handle anti-bot protections and changing website structures in large-scale scraping projects
  • Use AWS or comparable cloud infrastructure and Docker-based containerization
  • Apply LLM frameworks such as LangChain, OpenRouter, or similar tools to automation workflows
  • Work with exceptional attention to detail and a consistent focus on data accuracy
  • Work independently while diagnosing and resolving technical issues
  • Communicate in English at upper-intermediate level (B2) or higher

Артықшылықтар

  • Freelance project engagement
  • Part-time remote arrangement
  • Approximately 10–20 hours per week during active project periods
  • Compensation of up to $30 per hour equivalent, based on experience level and contribution pace

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