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Part-time
bachelor degree, postgraduate degree
Posted 8h ago
~20 hrs/week
Remote in Querétaro, Querétaro, Mexico
Responsibilities
Own end-to-end data extraction workflows from complex websites to deliver accurate, structured datasets. Utilize internal tools and custom scripts to handle dynamic content and scale scraping operations.
Requirements
Requires 5+ years of experience in data engineering or web scraping with strong proficiency in Python and handling anti-bot mechanisms. Candidates should be comfortable working with LLMs and have a background in cloud infrastructure and containerization.
Full job description
Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities:
Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.
Requirements:
At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
Strong attention to detail and commitment to data accuracy
Self-directed work ethic with ability to troubleshoot independently
A link to GitHub is a plus
English proficiency: Upper-intermediate (B2) or above (required)
Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Related keywords
PythonWeb ScrapingData EngineeringBeautifulSoupSeleniumAJAXInfinite ScrollProxiesAnti-botAWSDockerLangChainOpenRouterApifyLLMGenerative AI
Be the “I” in AI with Mindrift. Work from anywhere on groundbreaking AI projects
Industry
Technology, Information and Internet
Company size
501-1,000 employees
LinkedIn followers
731,212
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies.
Through Mindrift, over 10,000 professionals across 50+ domains and 15+ languages contribute to supervised fine-tuning, reinforcement learning from human feedback (RLHF), model evaluation, and red-teaming for frontier AI models developed by leading global technology companies.
Operated by Toloka from Amsterdam, Netherlands, Mindrift offers flexible, fully remote, project-based opportunities — empowering experts to shape the future of generative AI, one task at a time.