Join us in shaping how AI understands and applies machine learning expertise at scale.

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.

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.

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.

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.

• 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.

• 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.

Work arrangement: Fully remote

Applicant eligibility: 28 eligible countries · 2 eligible regions