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

10x Team · Remote · Germany ·
Fully remoteContractMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Freelance (8-20 hrs/week)
  • Fully remote (EU/UK)
  • Senior ML Engineer
  • AI Training & Evaluation
  • Flexible schedule

10x.team connects expert freelancers with leading AI labs to improve how models understand machine learning expertise. You will evaluate AI-generated content for technical accuracy and practical relevance, helping to shape next-generation systems.

This is a freelance position requiring senior-level experience. You will work independently to identify reasoning gaps and draft scenario variations based on your professional background.

What you'll do

  • Review and refine AI outputs on ML model development and implementation
  • Evaluate responses for technical accuracy and real-world compliance
  • Draft realistic ML scenarios based on direct professional experience
  • Create scenario variations from engineer, client, or stakeholder perspectives
  • Identify gaps and weak reasoning in AI-generated engineering content

What you'll need

  • Senior-level machine learning engineer with significant experience
  • Based in the EU or UK
  • Experienced in advising on and executing ML projects and deployments
  • Skilled at evaluating algorithms and implementation compliance
  • Comfortable working independently and providing structured feedback
  • Available for 8 to 20 hours per week with prompt availability

How you'll work

  • Freelance contract, 8 to 20 hours per week
  • Fully remote, candidates must be in EU or UK
  • Dynamic matching to projects based on expertise and demand
  • Response to project requests may be required within 24 hours

What you get

  • Flexible work fitting around current commitments
  • Free access to in-house AI Academy for skill development
  • Clear onboarding process and structured tasks
  • Contribute to high-impact advanced AI systems

Hiring process

  • Submit application to receive email instructions
  • Complete a short written assessment
  • Participate in an AI-powered interview
  • Profile review and approval for future project matching