10x.Team

ML Engineer – AI Trainer, Freelance

10x.Team

contract

Posted on:

Location Type: Remote

Location: Netherlands

Visit company website

Explore more

AI Apply
Apply

Salary

💰 €82 - €132 per hour

About the role

  • Review and refine AI generated outputs on a variety of machine learning and AI topics
  • Evaluate responses for technical accuracy, ML best practices, and compliance with industry standards
  • Draft realistic ML engineering scenarios, including model evaluation, deployment approaches, data pipeline design, scaling challenges, interpretability, and ethical considerations
  • Create variations of the same scenario from different roles, such as ML engineer, data scientist, business stakeholder, or compliance advisor
  • Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content
  • Assess and improve AI reasoning around structured problem solving, edge cases, and application of theoretical concepts

Requirements

  • A machine learning engineer, data scientist, or AI engineer with several years of hands-on experience
  • Based in the EU or UK
  • Experienced across the ML workflow: model development, evaluation, tuning, deployment and monitoring
  • Comfortable identifying limitations in data, experimental design, model selection, fairness, or explainability
  • Familiar with current ML frameworks, MLOps best practices, and ethical or AI governance standards
  • Available 8 to 20 hours per week
  • Able to start in the coming weeks
Benefits
  • Flexible, part-time hours
  • Fully remote opportunity
  • Apply your ML expertise to advance the field of AI
  • Contribute to the performance of widely used AI systems
  • Clear scope and structured onboarding
  • Potential for long-term collaboration based on performance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmodel developmentmodel evaluationmodel tuningmodel deploymentmodel monitoringdata pipeline designAI governanceethical considerationsMLOps
Soft Skills
problem solvingcritical thinkingattention to detailcommunicationcollaboration