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