ML Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote
Updated: 03 April 2026
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 Role10x.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
Screening ProcessOur process is straightforward, transparent, and supportive:
Brief written test assessing your ML and technical reasoning
Short AI-based interview
Verification of credentials and identity
After successful onboarding, you’ll be eligible to start on upcoming projects as they become available.
Join us to help shape the machine learning expertise of the world’s most advanced AI models!
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