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

Updated: 18 June 2026

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  Review and enhance AI-generated content on machine learning operations, model deployment, and workflow optimization

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  Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations

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  Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience

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  Create multiple scenario variations reflecting perspectives of various ML operations roles, from engineers to stakeholders

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  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

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

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.