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 reasons through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces that teach large language models how to plan, think, and make decisions — step by step. This is a fully remote, flexible contract role built for experienced ML practitioners who want meaningful, intellectually engaging work at the frontier of AI development. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions across sophisticated technical tasksDesign structured traces that document each step of the problem-solving process — from initial planning through execution and self-correctionDevelop data strategies that help LLMs navigate intricate, real-world decision-making scenarios with greater reliabilityReview and mentor reasoning trace quality to ensure planning, tool use, and logic are clearly and accurately documentedCollaborate with leading AI research teams to align your outputs with training methodologies that push the boundaries of model performance Who You Are Deeply experienced in machine learning, AI research, or a closely related technical fieldSkilled at decomposing complex problems into clear, logical, well-documented reasoning stepsFamiliar with how large language models work — including their strengths, failure modes, and training dynamicsRigorous and detail-oriented, with a strong instinct for what makes AI reasoning reliable versus brittleComfortable working independently and producing structured written outputs at a high standardExperience with advanced LLM evaluation or training methodologies is a strong asset Nice to Have Prior experience with data annotation, data quality assurance, or model evaluation systemsTop-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level understanding of model performance and feature engineeringBackground in applied ML research, AI safety, or RLHF-adjacent workflowsFamiliarity with agent-based reasoning frameworks or tool-augmented LLM architectures Why Join Us Work at the cutting edge of AI — your contributions directly influence how frontier models learn to reasonCollaborate with world-class AI research labs and teams building the most advanced models in existenceFully remote and async — work when and where it suits you, with no fixed scheduleFreelance autonomy with the substance of genuinely impactful, intellectually challenging workExposure to advanced LLM training pipelines and the inner workings of state-of-the-art AI systemsPotential for ongoing work and contract extension as new projects launch