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

Updated: 09 June 2026

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

Job Title: Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

Job Description:

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

Are you a machine learning and operations expert interested in shaping the future of artificial intelligence? 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.

About Us:

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.

Key Responsibilities:

• 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.

About You:

• 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
• Available 8–20 hours per week and reliable in communications

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

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.

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

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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.