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- Tasks: Enhance AI understanding of data science by reviewing and refining outputs.
- Company: Join a leading team connecting freelancers with top AI labs.
- Benefits: Flexible remote work, access to AI Academy, and structured tasks.
- Other info: Opportunity for ongoing collaboration and career growth in a high-impact environment.
- Why this job: Make a real impact on AI systems while working flexibly around your schedule.
- Qualifications: Senior-level data scientist with experience in data science and machine learning.
The predicted salary is between 30 - 40 £ per hour.
Freelance | 8–20 hrs/week | Remote (EU/UK)
Are you an experienced data scientist who instinctively spots gaps in analytical reasoning and understands the complex realities of data science in a business context? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies data science expertise at scale.
About the Role
10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable data scientists based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered data science solutions.
What You Will Do
- Review and refine AI-generated outputs related to data science, machine learning, statistical modeling, and practical aspects of deploying data-driven solutions
- Evaluate AI responses for accuracy, application of statistical and machine learning methods, and compliance with real-world requirements
- Draft realistic data science scenarios based on your direct professional experience
- Create scenario variations from different perspectives (e.g. data scientist, business stakeholder, manager, or client)
- Identify gaps, oversights, or weak reasoning in AI-generated data science content
In simple terms: You will assess and improve AI-generated content, ensuring it reflects true data science reasoning, authentic documentation, and practical analytical procedures. Rather than conducting traditional data science projects, you’ll apply your expertise to help AI systems understand and reason about data science at scale.
Who You Are
- A senior-level data scientist with significant professional experience within the EU or UK
- Experienced in advising on, preparing, and executing data science or machine learning projects
- Skilled at evaluating analytical approaches, data quality, and compliance
- Comfortable working independently and providing structured, critical feedback
- Available for 8–20 hours per week, with prompt availability
Why Join?
- Flexible, fully remote freelance work that fits your current commitments
- Apply your data science expertise in a rapidly evolving, high-impact AI environment
- Directly contribute to building advanced AI-powered data science systems
- Free access to our in-house AI Academy to further develop your AI skillset
- Clear onboarding, structured tasks, and ongoing opportunities for collaboration
How to apply
To complete your application, you’ll receive an email right after applying with a link to:
- A short written evaluation
- A brief AI-powered interview
- A quick compliance check (credentials & identity)
Important: Your application is only complete once you finish these steps via the link in the email. After successful onboarding, you’ll be eligible to start on upcoming projects as they become available. Join us to help shape the data science expertise of the world’s most advanced AI models!
Data Scientist - AI Trainer - Freelance - 8-20hr p/w in London employer: 10x.Team
Contact Detail:
10x.Team Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI Trainer - Freelance - 8-20hr p/w in London
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and AI enthusiasts on LinkedIn or relevant forums. Share your expertise and let them know you're on the lookout for freelance gigs – you never know who might have a lead!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best work in data science and AI. Include case studies, projects, or even blog posts that demonstrate your analytical reasoning and problem-solving abilities.
✨Tip Number 3
Stay active in the community! Join webinars, workshops, or online meetups related to data science and AI. Engaging with others in the field can open doors to new opportunities and collaborations.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us and find freelance opportunities that fit your schedule. Don’t forget to complete all application steps promptly to increase your chances of landing that gig!
We think you need these skills to ace Data Scientist - AI Trainer - Freelance - 8-20hr p/w in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data science expertise in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your analytical skills and any relevant projects you've worked on.
Be Clear and Concise: When filling out your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the table.
Tailor Your Responses: Take a moment to customise your answers based on the job description. We’re looking for candidates who understand the nuances of the role, so make sure your application reflects that understanding.
Complete All Steps: After applying, check your email for the next steps. It’s crucial to finish the written evaluation, AI interview, and compliance check to complete your application. We can’t wait to see you join us!
How to prepare for a job interview at 10x.Team
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and statistical modelling. Be ready to discuss real-world applications and how you've tackled similar challenges in your past roles.
✨Showcase Your Critical Thinking
Prepare examples that highlight your ability to evaluate AI outputs critically. Think about times when you've identified gaps or oversights in data analysis and be ready to share those stories during the interview.
✨Understand the Role's Context
Familiarise yourself with the specific needs of the role. Since you'll be refining AI-generated content, think about how you can ensure accuracy and relevance in your evaluations. This will show that you understand the business context behind the data.
✨Be Ready for Practical Scenarios
Expect to engage in discussions about drafting realistic data science scenarios. Prepare to think from different perspectives, like a data scientist or a business stakeholder, to demonstrate your versatility and understanding of various viewpoints.