Senior Machine Learning Expert

Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly influence how the world's most advanced AI systems reason through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step records that teach LLMs how to plan, use tools, and make reliable decisions in real-world scenarios.
This is a fully remote, flexible contract role built for senior practitioners who understand model behavior at a deep level and can translate that understanding into training data that genuinely moves the needle.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces for sophisticated technical tasks — capturing planning, tool use, and step-by-step decision making in precise detail
Design and document structured traces that reflect expert-level architectural thinking and problem decomposition
Review and mentor reasoning trace quality to ensure consistency, logical rigor, and optimal documentation of model decision pathways
Develop data strategies that help LLMs navigate intricate, multi-step real-world scenarios with greater reliability
Collaborate asynchronously with a global team working at the frontier of AI development
Who You Are
Experienced machine learning practitioner with significant hands-on expertise in model reasoning, evaluation, or training
Skilled at decomposing complex, multi-step problems into clear, logical, documented processes
Deep familiarity with how LLMs work — including their failure modes, reasoning patterns, and decision-making behaviors
Strong written communicator who can produce structured, precise technical documentation
Self-directed and comfortable delivering high-quality work independently
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 elite understanding of model performance and feature engineering
Experience designing or auditing training data pipelines for large-scale ML systems
Background in applied AI research or production ML engineering
Why Join Us
Work at the frontier of AI — your contributions directly shape how next-generation LLMs reason and behave
Fully remote and flexible — work when and where it suits you, on your own schedule
Freelance autonomy with the substance of meaningful, high-impact technical work
Collaborate with a global team partnered with leading AI research labs and organizations
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes