Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Training)About The RoleWhat if your deep expertise in machine learning could directly determine how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Engineers to author the high-fidelity reasoning traces that teach large language models how to think — step by step, decision by decision.This isn't prompt engineering or routine annotation. This is senior-level intellectual work: designing structured traces that capture real planning, tool use, and problem decomposition for complex technical tasks. The data you create will directly influence how reliably AI models reason in the real world.This is a fully remote, flexible contract role built for experienced ML practitioners who want to contribute to something that genuinely matters.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoAuthor complex, high-fidelity reasoning traces that show how an LLM should plan, use tools, and make decisions to solve sophisticated technical tasksApply senior-level architectural insight to ensure traces reflect sound, reliable model decision-makingDecompose intricate real-world problems into clear, logical, and well-documented stepsReview and mentor structured traces to maintain the highest standards of planning and tool-use documentationDesign data strategies that help LLMs navigate multi-step, ambiguous, and high-stakes scenariosContribute to training pipelines that push the frontier of what AI can reason throughWho You AreExperienced in Machine Learning or a closely related technical field, with a strong focus on model reasoning and decision-makingSkilled at breaking down complex problems into structured, logical, and clearly documented stepsFamiliar with advanced LLM evaluation and training methodologiesRigorous in your thinking — you care about correctness, nuance, and the downstream impact of training data qualitySelf-directed and comfortable working independently in an asynchronous remote environmentNice to HavePrior experience with data annotation, data quality assurance, or model evaluation systemsTop-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep understanding of model performance and feature engineeringBackground in ML research, applied AI, or LLM fine-tuning workflowsExperience designing or auditing training datasets for complex reasoning tasksWhy Join UsWork at the frontier of AI development alongside world-leading research labs and teamsFully remote and flexible — structure your hours around your life, not the other way aroundFreelance autonomy with the substance of genuinely impactful, intellectually challenging workDirect influence on how the next generation of AI models learn to reason and solve hard problemsPotential for ongoing work and contract extension as new projects launch