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Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings

Braintrust -
Ottawa, ON

Apply Now

Job details

Part-time | Full-time | Freelance
17 hours ago

Qualifications

AJAX
Cloud infrastructure
Law
Computer Science
Applied Mathematics
Engineering
Mathematics
Selenium
English
Master's degree
AWS
Docker
Bachelor's
JavaScript
Scripting
GitHub
APIs
JSON
AI
Python
HTML

Full job description

Job description

Open to candidates in the North America, South America, Asia and Europe.

Mindrift (Toloka) is looking for highly skilled Senior Python Data Scraping Engineers.

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.

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 Details

Long-term project with an expected duration of at least 3–4 months, with the potential for extension based on project needs and performance.
Candidates should be available for a minimum of 20 hours per week. Availability of 30–40 hours per week is highly preferred.
This opportunity is best suited for developers looking for ongoing, meaningful project work rather than short-term or occasional tasks.
Work will be completed remotely and asynchronously, with access to project support and community channels.

Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

App review and invitation to a virtual project introduction session (approximately 30 minutes)
Platform registration and identity verification
Technical assessment (approximately 35 minutes)
Background check (completed at no cost to candidates)
Onboarding and project-specific training tasks
Begin production work!

Additional Requirements

Willingness to complete identity verification as part of the onboarding process.
Ability to complete a technical assessment.
Willingness to join and participate in Discord, which will be used for project communication and updates.
Successful completion of a background check is required prior to onboarding.
Reliable internet connection and ability to communicate effectively in a remote environment.

What Makes This Opportunity Unique

Opportunity to contribute to cutting-edge AI initiatives alongside a large global network of technical experts.
Potential for significant weekly engagement for candidates with strong availability.
Structured onboarding process with dedicated support and project guidance.
Opportunity to participate in a project expected to scale substantially over the coming months.

Apply Now

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