Machine Learning Engineer, AI Training Tasks (Freelance, Remote)

Help train the world's most advanced AI models.

DevFixr is recruiting machine learning engineers for a client that builds training environments for frontier AI labs. You'll write challenging ML engineering coding tasks that are used to train and evaluate cutting-edge AI models. The work covers both CPU and GPU tasks.

This is freelance, remote work at around 20 hours a week, paid $30-100 per hour depending on experience.

What you'll do

• Design realistic, hard ML engineering problems set inside real codebases
• Write a working reference solution for each task
• Write automated tests that reliably check whether a solution is correct
• Make sure every task is clearly specified and can't be passed with shortcuts
• Improve tasks based on reviewer feedback

What we're looking for

• 4+ years of hands-on machine learning engineering in Python
• You've trained or fine-tuned models yourself (PyTorch, JAX or similar)
• You write thorough tests and are comfortable in large, multi-file codebases
• Strong written English, as every task is a written specification
• Around 20 hours a week, consistently

Nice to have

• GPU experience: CUDA, Triton, kernel optimisation, FSDP, DeepSpeed, multi-GPU or multi-node training
• Previous AI training or evaluation work (e.g. Turing, Mercor, Outlier, Scale AI)
• Experience building benchmarks, evals or RL environments
• Kaggle rankings, competitive programming or open-source ML contributions

How it works

• Freelance contract, paid hourly for the hours you work
• Fully remote with flexible hours
• A short screening call, then a technical assessment
• We never charge candidates any fees

Apply with your LinkedIn profile, and include your GitHub or Kaggle link if you have one.