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 high-fidelity reasoning traces — the step-by-step thinking that teaches large language models how to tackle complex, real-world problems.
This is a fully remote, flexible contract role built for senior-level ML professionals who understand model behavior from the inside out. If you've spent years thinking about how intelligent systems should reason, this is your opportunity to put that knowledge to work at the frontier of AI development.
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 how an LLM should plan, use tools, and make decisions step by step
Design structured traces that reflect expert-level thinking across real-world ML scenarios
Review and mentor trace quality, ensuring optimal documentation of planning, tool use, and decision-making
Develop data strategies that help LLMs navigate intricate, multi-step problem-solving
Apply senior-level architectural insights to ensure model reasoning is reliable, logical, and well-documented
Work independently and asynchronously — fully on your own schedule
Who You Are
Significant hands-on experience in machine learning, AI research, or a closely related technical field
Deep understanding of LLM behavior, model reasoning, and how AI systems process and solve problems
Proven ability to decompose complex, ambiguous problems into clear, logical, and well-documented steps
Experienced with advanced LLM evaluation and training methodologies
Strong written communicator who can articulate structured reasoning with precision
Detail-oriented and methodical — you think carefully about why a model should take each step, not just what to do
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 elite-level understanding of model performance and feature engineering
Background in MLOps, model interpretability, or AI safety research
Experience writing technical documentation or structured training data for AI systems
Why Join Us
Work directly with cutting-edge LLMs at the frontier of AI research
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact technical work
Collaborate with a global team contributing to some of the most advanced AI projects in the world
Meaningful work: the traces you write will directly shape how future AI models reason and make decisions
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes