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About the Role

Join the Tendem project as a Senior Python Data Scraping Engineer to drive specialized data scraping workflows within a hybrid AI + human system. As an AI Pilot, collaborate with Tendem Agents, providing critical thinking, domain expertise, and quality control for accurate, actionable results. This part-time remote role is for technical professionals experienced in web scraping, data extraction, and processing.

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.
Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
Strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.
Ability to solve non-trivial problems.
Confidence working with LLMs.
Ability to systematically collect, structure, and validate data from diverse sources.
Methodical, detail-oriented approach.
Ability to work independently.
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.

Skills

Python web scraping
BeautifulSoup
Selenium
Data extraction from complex structures
Data cleaning
Data normalization
Data validation
Handling anti-bot mechanisms
Cloud infrastructure (AWS)
Containerization (Docker)
LLM frameworks (LangChain)
LLM frameworks (OpenRouter)
Scripting
Automation
AI-assisted workflows
Critical thinking
Domain expertise
Quality control
Problem-solving
Working with LLMs
Data collection
Data structuring
Attention to detail
Independent troubleshooting
English proficiency (Upper-intermediate B2)

Location

Remote

Work Type

Part-time
Remote
Freelance

Experience Level

Senior
5+ years of relevant experience

Education Level

Bachelor's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields (plus)
Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields (plus)

Salary/Compensations

Up to $45 per hour equivalent

About the Company

Mindrift connects specialists with AI projects from major tech innovators. Its mission is to unlock Generative AI potential by leveraging global real-world expertise.