Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Training)About The RoleWhat 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 Engineers to author high-fidelity reasoning traces that teach large language models how to think — step by step, tool by tool, decision by decision.This isn't a traditional ML role. You'll work at the frontier of AI development, translating your hard-won technical intuition into structured data that makes AI smarter, more reliable, and more capable in the real world.This is a fully remote, flexible contract role — work on your schedule, at your pace.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoAuthor complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions when solving real technical tasksDecompose sophisticated ML problems into clear, logical, well-documented step-by-step solutionsDesign and implement data strategies that train LLMs to navigate intricate, real-world decision-making scenariosReview and provide expert-level feedback on reasoning traces produced by other contributorsEnsure traces reflect sound architectural thinking, rigorous logic, and best practices in model reasoningWork across a variety of advanced technical tasks spanning ML engineering, model evaluation, and system designWho You AreSeasoned ML practitioner with significant hands-on experience in machine learning, deep learning, or a closely related technical fieldSkilled at breaking down complex, multi-step problems into clear and logical structures — you think in systems and document with precisionFamiliar with LLM architectures, training methodologies, and evaluation frameworksA strong written communicator who can articulate technical reasoning clearly and conciselySelf-directed and dependable — you produce quality work independently without needing hand-holdingNice to HavePrior experience in data annotation, data quality assurance, or AI evaluation pipelinesTop-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level model performance and feature engineeringExperience contributing to LLM fine-tuning, RLHF, or other alignment-adjacent workflowsBackground in AI research or applied ML in production environmentsWhy Join UsWork directly with teams building some of the most advanced AI models in the worldFully remote and asynchronous — work when it suits you, from wherever you areFreelance autonomy with the structure of meaningful, high-impact technical workGet rare, hands-on exposure to how frontier LLMs are trained and shaped at the data levelCollaborate with a global community of expert contributors across AI and MLPotential for ongoing work and contract extension as new projects launch