At a Glance
- Tasks: Drive data scraping workflows and ensure accuracy in a hybrid AI + human system.
- Company: Join Mindrift, a leader in connecting specialists with innovative AI projects.
- Benefits: Enjoy remote work, flexible hours, and performance-based bonuses.
- Other info: Perfect for tech-savvy individuals looking to grow in a dynamic environment.
- Why this job: Make an impact in the exciting world of Generative AI while honing your technical skills.
- Qualifications: 5+ 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 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, 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 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 before 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.
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.
- 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).
Benefits
- 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.
Remote Senior Python Data Scraping Engineer — AI Pilot in Manchester employer: Mindrift
Mindrift is an exceptional employer for Senior Python Data Scraping Engineers, offering the flexibility of remote work while engaging in innovative AI projects that blend human expertise with cutting-edge technology. Our collaborative culture fosters professional growth and rewards high-quality contributions through performance-based bonuses, making it an ideal environment for those looking to advance their careers in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Data Scraping Engineer — AI Pilot in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who might know about opportunities at Mindrift. A friendly chat can sometimes lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best web scraping projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data scraping challenges and solutions. Be ready to share how you've tackled similar issues in the past – it’ll show you’re the right fit for the AI Pilot role!
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote Senior Python Data Scraping Engineer — AI Pilot in Manchester
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 how you've tackled complex data extraction tasks and any cool projects you've worked on. Don't hold back!
Tailor Your Application:Take a moment to customise your application for the AI Pilot role. Mention specific tools like Apify or OpenRouter that you’ve used, and how you’ve handled dynamic content. This shows us you’re serious about the position.
Keep It Clear and Concise:While we love detail, make sure your application is easy to read. Use bullet points for your skills and experiences, and keep your language straightforward. We appreciate clarity just as much as you do!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mindrift
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in web scraping libraries like BeautifulSoup and Selenium. Be ready to discuss specific projects where you've tackled dynamic content or complex data structures, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've overcome challenges in data extraction, particularly with anti-bot mechanisms or changing site behaviours. Mindrift values critical thinking, so demonstrating your ability to adapt and troubleshoot will set you apart.
✨Familiarise Yourself with the Tools
Get to know Apify and OpenRouter before the interview. If you can speak about how you've used these tools or similar ones in your past work, it’ll show that you're proactive and ready to hit the ground running.
✨Emphasise Data Quality and Accuracy
Be prepared to discuss your approach to ensuring data quality, including validation checks and consistency controls. Highlight any experiences where you’ve delivered structured datasets and how you maintain high standards in your work.
