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- Tasks: Drive data scraping workflows using Python and collaborate with AI agents for accurate results.
- Company: Mindrift, a leader in connecting specialists with innovative AI projects.
- Benefits: Earn up to $37 per hour, work remotely, and enjoy flexible hours.
- Other info: Opportunity for performance-based bonuses and career growth.
- Why this job: Join a unique hybrid environment and enhance your skills in a rapidly growing field.
- Qualifications: 3+ years in data engineering or web scraping; strong Python skills required.
The predicted salary is between 30 - 37 £ per hour.
Mindrift is looking for highly skilled 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, 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.
About the Role
This is a freelance role for a Tendem project. As a 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.
Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
How to get started
Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.
Requirements
- At least 3 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.
- 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).
- Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
- 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).
Benefits
Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.
Senior Data Scraping Engineer (Python) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scraping Engineer (Python)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who are already working with AI or data scraping. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best web scraping projects. Include links to your GitHub and any relevant work you've done. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data scraping challenges. Be ready to discuss how you’ve tackled dynamic content and complex structures in the past. Confidence in your expertise can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be in the loop for all the latest freelance opportunities that match your skills.
We think you need these skills to ace Senior Data Scraping Engineer (Python)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and web scraping in your application. We want to see your hands-on skills, so don’t hold back on showcasing any projects or tools you've used, especially those like BeautifulSoup or Selenium.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with the Tendem project and our mission at Mindrift. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you the perfect fit for the Senior Data Scraping Engineer role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Apify and OpenRouter. Familiarise yourself with their functionalities and how they can be applied to different scraping scenarios. This will not only show your technical prowess but also your enthusiasm for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you tackled complex data extraction challenges. Be ready to discuss how you approached issues like dynamic content or inconsistent HTML structures. This will demonstrate your critical thinking and adaptability, which are key for the AI Pilot role.
✨Highlight Your Attention to Detail
Since data accuracy is crucial, come prepared with specific instances where your attention to detail made a difference. Discuss how you enforced data quality standards and what validation checks you implemented. This will reassure them that you take data integrity seriously.
✨Be Ready to Discuss Your Workflow
Think about how you manage end-to-end data extraction workflows. Be prepared to explain your approach to scaling operations and handling failures. This insight into your workflow will help them see how you can contribute effectively to their team.