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.

Work arrangement
Yes