Senior Machine Learning Engineer
Senior Machine Learning Engineer (AI Training)
About The Role
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, flexible contract role built for experienced ML professionals who want to work at the frontier of AI development — on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- 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 work independently
Nice to Have
- Prior experience with data annotation, evaluation systems, or AI quality assurance
- Top-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of your model intuition and problem-solving depth
- Hands-on experience working with or evaluating large language models directly
- Background in AI safety, interpretability, or model alignment research
Why Join Us
- Work at the frontier — collaborate with world-leading AI research labs on projects that are shaping the future of machine intelligence
- Fully remote and flexible — work when and where you do your best thinking
- Freelance autonomy with the substance of genuinely meaningful, high-impact work
- Go beyond typical ML contracting — your expertise directly influences how frontier models reason and behave
- Potential for ongoing work and contract extension as new projects launch