Senior Machine Learning Engineer (AI Training)About The RoleWhat if your deep expertise in machine learning could directly shape how AI reasons, plans, and solves complex problems for millions of people? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces that teach cutting-edge LLMs how to think — step by step, decision by decision.This is a fully remote, flexible contract role built for experienced ML professionals who understand model behavior at a deep level and can translate that understanding into structured, actionable training data.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoAuthor complex, high-fidelity reasoning traces that capture how an AI should plan, use tools, and make decisions across sophisticated real-world tasksDecompose difficult technical problems into clear, logical, well-documented steps that serve as ground truth for model trainingReview and mentor the quality of structured traces produced by others, ensuring accuracy, consistency, and optimal planning documentationDesign data strategies that help LLMs navigate intricate, multi-step decision-making scenariosCollaborate with a global team of ML professionals working at the frontier of AI researchWho You AreExperienced machine learning engineer or researcher with a strong foundation in model reasoning, training, or evaluationAble to break down complex, ambiguous problems into structured, logical reasoning chainsDeeply familiar with how LLMs work — including their failure modes, capabilities, and training dynamicsDetail-oriented and rigorous in your thinking — you care about getting things exactly rightA clear, precise written communicator who can articulate complex reasoning accessiblySelf-directed and productive when working independently in an async environmentNice to HavePrior experience with data annotation, data quality workflows, or model evaluation systemsFamiliarity with RLHF, chain-of-thought prompting, or related alignment techniquesTop-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite model performance and feature engineering skillsBackground in AI safety, interpretability, or responsible AI developmentWhy Join UsWork at the frontier — your contributions directly influence how next-generation AI models reason and behaveFully remote and flexible — work when and where it suits you, on your own scheduleFreelance autonomy with the structure and purpose of meaningful, high-impact technical workCollaborate with world-class ML researchers and AI labs on projects that matterPotential for ongoing work and contract extension as new projects launch

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