Freelance MLOps Engineer & AI Trainer — Remote (EU/UK)

10x Team

United States

A distancia

USD 162.000 - 254.000

A tiempo parcial

14 días+

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Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

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Ventajas ofrecidas por este puesto de trabajo

Free access to AI Academy
100% remote work
Flexible schedule

Descripción de la vacante

10x Team is seeking a Freelance Machine Learning Operations Engineer - AI Trainer for 8–20 hours per week, fully remote within EU/UK. You will review and refine AI-generated ML operations content, develop deployment scenarios, and provide actionable feedback to improve AI reasoning and decision-making.

The ideal candidate is an experienced MLOps professional based in the EU or UK, capable of designing practical workflows and risk-mitigating exercises, with strong communication to guide AI models

Formación

  • Seasoned MLOps engineer or manager with hands-on experience deploying and operating ML systems.
  • Based in the EU or UK and comfortable working remotely.
  • Proven ability to implement and review ML operations strategies, workflow automation, and operational excellence.

Responsabilidades

  • Review and enhance AI-generated content on ML operations and deployment workflows.
  • Assess accuracy, relevance, and real-world viability of AI-driven ML operation scenarios and recommendations.
  • Develop use cases, deployment strategies, and risk-management exercises based on ML industry experience.
  • Create multiple scenario variations reflecting different ML operations roles and stakeholder perspectives.
  • Identify gaps or flawed assumptions in AI outputs and provide actionable feedback.

Conocimientos

MLOps
Model deployment
Workflow optimization
Feedback analysis
Scenario design

Descripción del empleo

10x Team is seeking a Freelance Machine Learning Operations Engineer - AI Trainer for 8–20 hours per week, fully remote within EU/UK. You will review and refine AI-generated ML operations content, develop deployment scenarios, and provide actionable feedback to improve AI reasoning and decision-making.

The ideal candidate is an experienced MLOps professional based in the EU or UK, capable of designing practical workflows and risk-mitigating exercises, with strong communication to guide AI models

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