What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems think, plan, and solve problems?
We're looking for Senior Machine Learning Engineers to help train cutting-edge large language models — not by writing traditional code, but by crafting the structured reasoning traces that teach AI how to think step by step. Your architectural intuition and understanding of model behaviour will have a direct, lasting impact on how next-generation AI approaches real-world challenges.
This is a fully remote, adaptable contract role built for experienced ML professionals who want to work at the frontier of AI development — on their own schedule.
Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and make decisions across sophisticated technical tasks
Design structured traces that capture multi-step problem decomposition,
logical inference, and real-world decision-making strategies
Review and refine reasoning traces to ensure they reflect sound ML thinking and produce reliable, generalizable model behaviour
Develop data strategies that help LLMs navigate intricate, open-ended scenarios with greater consistency and accuracy
Contribute senior-level insights that elevate the overall quality and depth of training data
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — you understand how models learn and where they go wrong
Skilled at breaking down complex problems into clear, logical, documented steps — the kind of thinking that makes great training data
Familiar with LLM evaluation, fine-tuning, or training methodologies
A precise, structured communicator who can make sophisticated reasoning legible and reproducible
Self-directed and comfortable producing high-quality wo