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 reasons, plans, and makes decisions We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step records of how an AI should think through complex technical problems.

This is frontier work. The data you create trains LLMs to reason more reliably in real-world scenarios, influencing how millions of people interact with AI. If you're a senior-level ML practitioner who loves breaking down hard problems and documenting rigorous thought processes, this role was built for you.

This is a fully remote, flexible contract role. You set your own schedule — 10 to 40 hours per week, on your terms.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Author complex, high-fidelity reasoning traces that capture planning, tool use, and step-by-step decision-making for sophisticated ML tasks
Design and document data strategies that help LLMs navigate intricate, real-world problem-solving scenarios
Review and mentor structured traces to ensure optimal logical flow, clarity, and technical accuracy
Apply senior-level architectural insights to validate and improve how AI models reason through multi-step challenges
Work independently and asynchronously — entirely on your own schedule

Who You Are

Experienced machine learning practitioner with significant hands-on expertise in ML, deep learning, or related technical fields
Skilled at decomposing complex, ambiguous problems into clear, logical, and well-documented steps
Familiar with LLM evaluation, training methodologies, and how large models reason and fail
Detail-oriented with strong written communication — you can explain sophisticated concepts precisely and clearly
Self-directed and comfortable producing high-quality work independently

Nice to Have

Prior experience with data annotation, data quality assurance, or AI 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 reasoning-focused ML research
Experience reviewing or producing technical documentation at a senior level

Why Join Us

Work on cutting-edge AI projects alongside world-leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure and purpose of meaningful, high-impact work
Gain direct exposure to how frontier LLMs are trained and evaluated
Potential for ongoing work and contract extension as new projects launch