Do you want to use your expertise to help train smarter AI models—on your own terms and schedule?

Join 10x Team as a Freelance Machine Learning Operations Engineer - AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows.

10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning operations (MLOps) specialists based in the EU or UK to ensure AI-generated workflows, deployment processes, and decision-making are accurate, relevant, and grounded in industry best practices.

Why Join 10x Team?

• Flexible, project-based freelance work—100% remote.
• Use your machine learning operations expertise to help build better AI.
• Make a direct impact by shaping the AI’s understanding of complex ML workflows and deployment challenges.
• Free access to our AI Academy for professional upskilling.
• Structured onboarding, clear project briefs, and ongoing collaborative opportunities.

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.

Help shape the next generation of AI-driven machine learning operations—apply today!

• Review and enhance AI-generated content on machine learning operations, model deployment, and workflow optimization.
• Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations.
• Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience.
• Create multiple scenario variations reflecting perspectives of various ML operations roles, from engineers to stakeholders.
• Identify gaps or flawed assumptions in AI outputs and provide clear, actionable feedback.
• Your role will directly influence how AI understands, reasons, and advises on effective, nuanced ML operations strategies.

• Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems.
• Based in the EU or UK.
• Demonstrated expertise in implementing and reviewing ML operations strategies, workflow automation, and operational excellence in machine learning.
• Highly organized and skilled at providing direct, constructive feedback.

Work arrangement: Fully remote

Applicant eligibility: 28 eligible countries · 2 eligible regions