Salary: $96,000 – $165,000

Senior Machine Learning Engineer (AI Training)About The RoleWhat if your deep expertise in machine learning could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Senior Machine Learning Engineers to author the high-fidelity reasoning traces that teach large language models how to think - step by step, decision by decision.This isn't a typical ML role. You won't be tuning hyperparameters or managing infrastructure. Instead, you'll be doing something arguably more important: capturing the architecture of expert reasoning in a form that makes AI smarter, more reliable, and more capable in the real world.This is a fully remote, flexible contract role built for senior practitioners who want meaningful, high-impact work on their own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10-40 hours/weekWhat You'll DoAuthor complex, high-fidelity reasoning traces for sophisticated technical ML tasks - showing exactly how an expert thinks through and solves real problemsDocument structured decision-making processes that capture planning, tool selection, and step-by-step execution in a format LLMs can learn fromDesign and apply data strategies that help AI navigate intricate, real-world reasoning scenarios reliablyReview and provide expert-level feedback on reasoning traces produced by other contributors to ensure quality, logical coherence, and practical accuracyWork across a range of advanced ML topics - model evaluation, architecture decisions,



feature engineering, and beyondWho You AreExperienced ML practitioner with significant hands-on experience in machine learning, deep learning, or a closely related technical fieldSkilled at decomposing complex, ambiguous problems into transparent, structured, and logically sound stepsFamiliar with advanced LLM evaluation and training methodologies - you understand how these models learn and where they go wrongA precise, articulate communicator who can document technical reasoning with clarity and depthSelf-directed and consistent - you produce high-quality work without needing close oversightNice to HavePrior experience in data annotation, data quality assurance, or AI evaluation systemsTop-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level model understanding and feature engineeringFamiliarity with RLHF, chain-of-thought prompting, or reasoning trace methodologiesBackground in AI safety, interpretability, or model alignment researchWhy Join UsWork directly with teams building some of the world's most advanced AI systemsFully remote and async - work when and where it suits you, with no fixed scheduleFreelance autonomy: choose your hours, set your pace, maintain your independenceGet rare, hands-on exposure to how frontier LLMs are actually trained and improvedContribute to work that has a genuine, lasting impact on the trajectory of AI developmentPotential for ongoing contract extension as new projects launch#J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Melbourne)
🏢 Alignerr
📍 Melbourne