Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings
Braintrust · United States
- Hybrid
- Internship
- $100,000 / year
- United States
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Job highlights
- Python engineer for AI data scraping.
- Extract and process complex web data.
- Utilize Apify, OpenRouter, and custom tools.
- Ensure high data accuracy and quality.
- Remote, part-time with extension potential.
About the role
About Mindrift (Toloka)
Mindrift (Toloka) is seeking highly skilled Senior Python Data Scraping Engineers for a part-time remote opportunity. This role is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.
The Mindrift platform connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI by tapping into real-world expertise globally.
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.
- A 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, 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 the ability to troubleshoot independently.
- A link to GitHub is a plus.
- English proficiency: Upper-intermediate (B2) or above.
Project Details
- Long-term project with an expected duration of at least 3–4 months, with the potential for extension.
- Candidates should be available for a minimum of 20 hours per week; 30–40 hours per week is highly preferred.
- This opportunity is best suited for developers looking for ongoing, meaningful project work.
- Work will be completed remotely and asynchronously, with access to project support and community channels.
Hiring & Onboarding Process
- App review and invitation to a virtual project introduction session (approx. 30 minutes).
- Platform registration and identity verification.
- Technical assessment (approx. 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.
- Ability to complete a technical assessment.
- Willingness to join and participate in Discord for project communication.
- Reliable internet connection and ability to communicate effectively remotely.
What Makes This Opportunity Unique
- Opportunity to contribute to cutting-edge AI initiatives with a 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.
Key skills/competency
- Senior Python Data Scraping Engineer
- Web Scraping
- Data Extraction
- Data Processing
- Automation
- Python
- Apify
- OpenRouter
- LLM
- Data Quality
Skills & topics
- Python
- Web Scraping
- Data Extraction
- Data Engineering
- Automation
- Senior Engineer
- Remote
- Freelance
- AI
- LLM
How to get hired
- Tailor your resume: Highlight your 5+ years of Python web scraping, data extraction, and automation experience. Quantify achievements where possible.
- Showcase your skills: Include a GitHub link demonstrating your Python projects, especially those involving BeautifulSoup, Selenium, or dynamic content extraction.
- Prepare for technical assessment: Brush up on Python web scraping techniques, data cleaning, validation, anti-bot mechanisms, and cloud/containerization basics.
- Demonstrate problem-solving: Be ready to discuss how you've tackled non-trivial data extraction challenges and worked with LLMs.
- Understand the role: Familiarize yourself with Mindrift's mission and the use of tools like Apify and OpenRouter in AI projects.
Technical preparation
Master Python web scraping libraries.,Practice handling dynamic JavaScript content.,Simulate API interactions via proxies.,Prepare for data validation & cleaning tasks.
Behavioral questions
Describe a complex scraping challenge.,How do you ensure data accuracy?,How do you handle anti-bot measures?,Discuss your independent problem-solving approach.
Frequently asked questions
- What is the work arrangement for the Senior Python Data Scraping Engineer role at Mindrift?
- This is a part-time, fully remote role open to candidates in North America, South America, Asia, and Europe. You can work asynchronously with project support available.
- What are the minimum and preferred weekly hours for this freelance role?
- The minimum requirement is 20 hours per week, but availability for 30-40 hours per week is highly preferred for this Senior Python Data Scraping Engineer position.
- What are the essential technical skills for a Senior Python Data Scraping Engineer at Mindrift?
- Key skills include 5+ years of Python web scraping (BeautifulSoup, Selenium), handling dynamic content, APIs, data cleaning, validation, anti-bot mechanisms, and ideally experience with LLM frameworks like LangChain or OpenRouter.
- What is the hiring process for the Senior Python Data Scraping Engineer position?
- The process is designed to be quick and includes an app review, virtual introduction, platform registration, a technical assessment, a background check, and onboarding with training.
- Is there a long-term potential for the Senior Python Data Scraping Engineer role?
- Yes, this is a long-term project expected to last at least 3-4 months, with a high potential for extension based on project needs and your performance.
- What tools will I use as a Senior Python Data Scraping Engineer at Mindrift?
- You will utilize provided tools like Apify and OpenRouter, alongside your own resourceful approaches and custom workflows for data extraction and processing.
- Do I need a degree to be considered for the Senior Python Data Scraping Engineer role?
- While a Bachelor's or Master's Degree in a technical field is a plus, it's not strictly required. Strong practical experience and technical foundation are prioritized for this Senior Python Data Scraping Engineer role.