Summary
What you’ll impact
The Senior Machine Learning Engineer (AI Data Trainer) will author high-fidelity reasoning traces to train large language models, designing structured documentation and data strategies to improve model decision-making. This fully remote, contract position offers 10–40 hours per week and requires an experienced ML practitioner with strong reasoning, planning, and LLM evaluation expertise.
Responsibilities
What you'll do
- Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasks
- Design and document structured traces that show how an LLM should navigate real-world problem-solving scenarios
- Review and mentor the quality of reasoning traces to ensure optimal clarity, logical flow, and technical accuracy
- Develop data strategies that help LLMs handle intricate, multi-step challenges with greater reliability
- Apply senior-level architectural insight to ensure traces reflect sound model reasoning principles
- Work independently and asynchronously — fully on your own schedule
Requirements
What you’ll bring
- Experienced machine learning practitioner with a strong focus on model reasoning, planning, and decision-making
- Proven ability to decompose complex problems into clear, logical, well-documented steps
- Deep familiarity with LLM evaluation and training methodologies
- Systematic and detail-oriented — you think carefully about how reasoning should be structured and communicated
- Strong written communicator who can translate complex technical logic into readable, structured documentation
- Self-motivated and reliable when working independently