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 think, plan, and solve problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — structured, step-by-step records of how an AI should approach and solve complex real-world tasks.
This is more than annotation. You'll be capturing expert-level decision-making in a form that trains LLMs to reason more reliably, plan more effectively, and use tools more intelligently. Your work will directly influence how frontier AI models behave in production.
This is a fully remote, flexible contract role built for senior ML professionals who want meaningful, intellectually stimulating work 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 capture expert-level planning, tool use, and decision-making for sophisticated technical tasks
Design and document step-by-step problem-solving strategies that help LLMs navigate intricate real-world scenarios
Review and mentor structured traces to ensure optimal quality, logical clarity, and accurate tool-use documentation
Develop data strategies that expose LLMs to nuanced, multi-step reasoning patterns
Apply senior architectural insights to ensure model decision-making is reliable, grounded, and well-structured
Who You Are
Deep hands-on experience in Machine Learning, AI research, or a closely related technical field
Proven ability to decompose complex problems into clear, logical, and well-documented steps
Strong understanding of how LLMs reason, plan, and use tools — and where they go wrong
Experience with LLM evaluation, fine-tuning, or training methodologies
Naturally rigorous and detail-oriented — you think in systems and document your thinking clearly
Self-directed and comfortable working independently in an async, remote environment
Nice to Have
Prior experience with data annotation, data quality assurance, or model evaluation pipelines
Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite model performance intuition
Background in AI safety, alignment research, or RLHF workflows
Experience writing technical documentation or structured evaluation rubrics
Why Join Us
Work directly with teams building some of the world's most advanced AI models
Fully remote and async — work when and where you do your best thinking
Freelance autonomy with intellectually stimulating, high-impact work
Contribute to AI that is more reliable, more capable, and more aligned with how experts actually think
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes