Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Training) About The Role What if your deep expertise in machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Engineers to do exactly that — authoring the high-fidelity reasoning traces that teach LLMs to think more clearly, act more reliably, and solve real-world problems step by step. This isn't model deployment or MLOps. This is upstream, foundational work — the kind that determines how the next generation of AI actually thinks. This is a fully remote, flexible contract role built for senior ML practitioners who want meaningful, intellectually engaging work on their own schedule. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Author complex, high-fidelity reasoning traces that capture how an LLM plans, uses tools, and makes decisions to solve sophisticated technical tasksDesign and document structured traces that reflect expert-level problem decomposition — showing every step from initial analysis to final outputApply senior architectural insight to ensure reasoning traces reflect best-in-class model decision-making patternsReview and refine trace quality to maintain rigorous standards for planning and tool-use documentationDevelop data strategies that help LLMs navigate intricate real-world scenarios more reliablyWork 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 fieldDeep understanding of how LLMs reason, plan, and handle multi-step tasksProven ability to decompose complex problems into clear, logical, well-documented stepsStrong familiarity with advanced LLM evaluation and training methodologiesPrecise, structured written communicator — you can explain technical reasoning with claritySelf-directed and consistent when working independently without supervision 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 model performance instinctsBackground in AI safety, RLHF, or reasoning-focused researchExperience contributing to or reviewing training datasets for large-scale models Why Join Us Work on foundational AI projects alongside world-leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with intellectually stimulating, high-impact workRare, direct access to the inner workings of how cutting-edge LLMs are trained to reasonPotential for ongoing work and contract extension as new projects launch