Summary
What you’ll impact
The Senior Machine Learning Engineer (AI Data Trainer) will author high-fidelity reasoning traces for large language models, design data strategies, and mentor trace documentation. The role is a fully remote, flexible hourly contract (10–40 hours/week) working with a globally distributed AI alignment team.
Responsibilities
What you'll do
- Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and arrive at decisions for sophisticated technical tasks
- Design and implement data strategies that help AI models navigate intricate, real-world scenarios reliably
- Review and mentor structured traces produced by others — ensuring rigorous documentation of planning steps and tool-use logic
- Decompose multi-step technical problems into clear, logical, and reproducible decision paths
- Collaborate with a globally distributed team working at the cutting edge of AI alignment and model training
Requirements
What you’ll bring
- Experienced machine learning practitioner with significant hands-on exposure to model reasoning, evaluation, or training methodologies
- Skilled at breaking down complex, ambiguous problems into structured, step-by-step logic
- Familiar with how large language models work — their strengths, failure modes, and how training data shapes their behavior
- Detail-oriented and precise in how you document technical processes
- Self-directed and comfortable working independently in an async, remote environment