Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Training) About the Role What if your deep expertise in machine learning could directly determine how the next generation of AI reasons through complex, real-world problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step decision paths that teach large language models how to plan, use tools, and think reliably. This is a fully remote, flexible contract role built for experienced ML practitioners who want to work at the frontier of AI development. Your architectural insights and problem-decomposition skills won't just support a product — they'll shape how AI thinks. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Author complex, high-fidelity reasoning traces that capture how an LLM should plan, reason, and act across sophisticated technical tasks Design structured traces that clearly document tool use, decision-making logic, and multi-step planning Apply senior-level architectural thinking to ensure traces reflect reliable, real-world problem-solving approaches Review and mentor the quality of reasoning documentation to uphold rigorous standards Develop data strategies that help LLMs navigate intricate, ambiguous scenarios with greater reliability Work independently and asynchronously on your own schedule Who You Are Significant hands-on experience in Machine Learning, AI research, or a closely related technical field Demonstrated ability to decompose complex, multi-step problems into clear, logical, and well-documented processes Deep familiarity with LLM evaluation, training methodologies, and model reasoning patterns Strong written communicator — you can translate sophisticated technical thinking into structured, readable documentation Self-directed and rigorous, with a high bar for quality Nice to Have Prior experience with data annotation pipelines, data quality frameworks, or AI evaluatio