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.