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 for freelance opportunities with career growth.
- Why this job: Make an impact in the exciting field 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 Glasgow 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 Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work 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 live demos. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and data scraping. Practice explaining your thought process clearly, as communication is key in remote roles.
✨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 Glasgow
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 role. Mention specific tools like Apify or OpenRouter that you've used, and how you’ve handled dynamic content. This shows us you're not just sending out generic applications.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Make it easy for us to see your qualifications and why you’d be a great fit for the AI Pilot role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 your past projects and how you've tackled dynamic content and anti-bot mechanisms.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex data extraction challenges. Mindrift values critical thinking, so think about times when you had to adapt your methods to handle changing site behaviours or intricate HTML structures.
✨Familiarise Yourself with the Tools
Get to know the tools mentioned in the job description, like Apify and OpenRouter. If possible, try them out beforehand so you can speak confidently about how you would use them in your workflows during the interview.
✨Emphasise Data Quality and Accuracy
Be prepared to discuss your approach to ensuring data quality. Highlight any validation checks or consistency controls you've implemented in previous roles, as this is crucial for delivering reliable datasets at Mindrift.
