AI Trainer (ML Engineering)

Machine learning engineers who have previously been paid to train or evaluate AI systems write realistic ML engineering tasks for advanced models and assess the experiments and code that result, watching for data leakage, bad validation and unstable training. The remote contract is open globally and asks for 15+ hours a week with flexible timing. Compensation is per accepted task, stated as a $60 to $120 per hour equivalent.

What you would do

• Write realistic machine learning engineering tasks that test advanced AI models
• Produce instructions, reproducible environments, reference solutions and evaluation criteria
• Assess model-generated code, experiments and analyses
• Identify data leakage, incorrect validation, unstable training, performance problems and reproducibility gaps

What the listing asks for

• Prior paid experience training, evaluating, benchmarking or improving AI systems
• Strong practical proficiency with Python
• Hands-on use of PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM or comparable tools
• Public evidence of skill, such as GitHub repositories, competition results or Hugging Face models
• Preferred: Kaggle Expert, Master or Grandmaster status, ML publications, or agentic AI evaluation experience

Suits ML engineers with a visible portfolio of models, competition results or open-source work who already know how AI training projects run.

Listed pay: $60 to $120 per hour equivalent, paid per accepted task. Where: Remote, worldwide. Time: 15+ hours a week, flexible schedule. Contract work for micro1, a company that hires experts for AI training projects.

Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.