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: Work remotely, flexible hours, and earn up to $37 per hour.
- Other info: Gain unique experience in a rapidly growing industry with performance bonuses.
- Why this job: Make an impact in the AI field 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 employer: Mindrift
Mindrift is an exceptional employer that offers a unique opportunity to work remotely as a Senior Python Data Scraping Engineer, allowing you to manage your own schedule while contributing to innovative AI projects. With a strong focus on collaboration between human expertise and AI, employees gain valuable experience in a rapidly evolving field, alongside performance-based bonuses that recognise high-quality contributions. Join us to be part of a forward-thinking team that values technical precision and fosters professional growth in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Data Scraping Engineer — AI Pilot
✨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 insider info about job openings 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 and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and data scraping. Practice explaining your thought process and problem-solving approach. We want to see how you tackle challenges, so be ready to share your strategies!
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed. Make sure to tailor your application to highlight your experience with tools like Apify and OpenRouter, as well as your ability to handle dynamic content. Let’s get you that interview!
We think you need these skills to ace Remote Senior Python Data Scraping Engineer — AI Pilot
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and web scraping. We want to see how you've tackled complex data extraction tasks in the past, so don’t hold back on the details!
Tailor Your Application:Make your application stand out by tailoring it to the role. Use keywords from the job description, like 'data quality standards' and 'dynamic content', to show that you understand what we're looking for at Mindrift.
Keep It Clear and Concise:While we love a good story, keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your qualifications and experience at a glance.
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 as a Senior Python Data Scraping Engineer.
How to prepare for a job interview at Mindrift
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with libraries like BeautifulSoup and Selenium. Be ready to discuss your experience with web scraping, dynamic content, and how you've tackled anti-bot mechanisms in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex data extraction tasks. Highlight your critical thinking and domain expertise by discussing challenges you've faced and how you overcame them.
✨Familiarise Yourself with Mindrift's Tools
Get to know Apify and OpenRouter before the interview. Being able to talk about how you would use these tools in your workflows will show that you're proactive and ready to hit the ground running.
✨Demonstrate Attention to Detail
Since data accuracy is key in this role, be prepared to discuss your methods for ensuring data quality. Talk about validation checks and how you maintain consistency across datasets to reassure them of your meticulous approach.
