Senior Machine Learning Expert

Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author the high-fidelity reasoning traces that teach large language models how to think — step by step, across real-world technical challenges.
This is a fully remote, flexible contract role built for senior ML professionals who understand how models work from the inside out and can translate that knowledge into structured, actionable training data.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions to solve real technical tasks
Design and document step-by-step decision-making sequences that reflect senior-level architectural thinking
Review and refine reasoning traces to ensure clarity, logical consistency, and optimal tool-use documentation
Develop data strategies that help LLMs navigate intricate, real-world problem-solving scenarios
Apply your understanding of model behavior to produce training data that meaningfully improves LLM reasoning reliability
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — with a strong focus on model reasoning and decision-making
Skilled at decomposing complex problems into clear, logical, well-documented steps
Familiar with advanced LLM evaluation and training methodologies
A precise, structured thinker who can communicate technical reasoning in writing with clarity
Self-directed and comfortable working independently in an asynchronous environment
Nice to Have
Prior experience with data annotation, data quality assurance, or model evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating deep command of model performance and feature engineering
Background in AI safety, RLHF, or preference data collection
Experience writing technical documentation or structured evaluation rubrics
Why Join Us
Work directly with leading AI research labs on some of the most consequential model training projects in the field
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact technical work
Get rare, hands-on exposure to how frontier LLMs are actually trained and improved
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes