Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote

Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an experienced machine learning engineer who instinctively spots gaps in AI reasoning and understands the complex realities of ML practice? 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 machine learning expertise at scale.

About the Role

10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable machine learning engineers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered systems.

What You Will Do

• Review and refine AI-generated outputs related to machine learning, model development, implementation, and practical aspects of engineering work

• Evaluate AI responses for technical accuracy, practicality, and compliance with real-world requirements

• Draft realistic ML scenarios based on your direct professional experience

• Create scenario variations from different perspectives (e.g. engineer, product manager, client, or stakeholder)

• Identify gaps, oversights, or weak reasoning in AI-generated engineering content

In simple terms

You will assess and improve AI-generated content, ensuring it reflects true ML engineering reasoning, authentic documentation, and practical procedures. Rather than conducting traditional engineering projects, you’ll apply your expertise to help AI systems understand and reason about the machine learning process at scale.

Who You Are

• A senior-level machine learning engineer with significant professional experience within the EU or UK

• Experienced in advising on, preparing, and executing machine learning projects and model deployments

• Skilled at evaluating algorithms, implementation, and compliance with specifications

• 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 ML engineering expertise in a rapidly evolving, high-impact AI environment

• Directly contribute to building advanced AI-powered engineering 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.

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NOTE

At 10x, there are two types of opportunities (inhouse-jobs at 10x excluded):

• Traditional freelance missions

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

• AI Lab roles to get access to the 10x platform

For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities and once approved you will get access to the 10x platform.

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.