Data Scientist - AI Trainer - Freelance - 8-20hr p/w - Remote

Updated: 07 July 2026

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:

After applying, you’ll receive an email detailing the steps to:

• ⁠Complete a short written assessment

• Participate in an AI-powered interview

 

Important: Your application is only complete once you finish all steps via the email link.

Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.

Join us to help shape the data science expertise of the world’s most advanced AI models!

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NOTE

At 10x, there are two types of opportunities:

 

1. Traditional freelance missions
These are regular project-based opportunities where the listed mission is the actual project you may work on.

 

2. AI Lab roles
For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities.

The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent.

Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise.

This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.