Freelance Machine Learning Operations Engineer - AI Trainer

10x.team Poland
Remote
Apply
AI Summary

Join 10x Team as a Freelance Machine Learning Operations Engineer - AI Trainer to contribute to building next-generation AI in real-world operations and ML workflows. Review and enhance AI-generated content, assess accuracy, and develop example use cases. Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems.

Key Highlights
Review and enhance AI-generated content
Assess accuracy and develop example use cases
Contribute to building next-generation AI
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
Technical Skills Required
Machine Learning Operations MLOps AI Trainer
Benefits & Perks
Flexible, project-based freelance work
100% remote
Free access to our AI Academy for professional upskilling

Job Description


Updated: 18 May 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 with steps to:

  • Complete a short written assessment
  • Participate in an AI-powered interview
  • Pass a compliance and credentials check

Important: Your application is only complete once you finish all steps via the email link. Project assignments are matched based on your expertise, availability, and current AI Lab needs.

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 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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