Machine Learning Engineer (AI Data Trainer)About The RoleWhat if your technical expertise could directly influence how the world's most advanced AI systems learn to reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by demonstrating expert-level problem-solving — step by step, tool by tool, decision by decision.This isn't a typical ML engineering role. You'll be working at the frontier of AI development, producing the high-quality reasoning data that teaches large language models how to think like an expert. Your work will have a direct, lasting impact on how AI handles real-world technical challenges.This is a fully remote, flexible contract role built for experienced technical professionals who want to contribute to something genuinely significant.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoConstruct precise, well-structured reasoning logs that walk through complex technical problems — capturing your strategy, tool use, and decision-making at each stepDemonstrate how an expert approaches sophisticated ML and engineering challenges, producing training data that shows AI models how to reason consistently and reliablyGenerate annotated workflows that illustrate proficient tool interaction, from problem framing through to solution executionReview and critically evaluate AI-generated reasoning sequences, identifying gaps, errors, and opportunities for improvementProduce high-quality training datasets that directly improve LLM performance on real-world technical tasksWho You AreProfessional background in Machine Learning, Software Engineering, or a closely related technical disciplineAble to clearly articulate complex reasoning processes — you can explain not just what you did, but why, step by stepStrong critical thinker with the ability to evaluate and refine AI-generated problem-solving approachesComfortable working independently and asynchronously with minimal supervisionDetail-oriented and methodical — you care about precision and consistencyNice to HaveMaster's Degree or PhD in Machine Learning, Computer Science, or a related technical fieldPrior experience with data annotation, data quality assurance, or AI evaluation systemsFamiliarity with LLMs, prompt engineering, or AI reasoning frameworksExperience documenting technical workflows or writing technical specificationsWhy Join UsWork directly with leading AI research labs on projects shaping the next generation of AIFully remote and flexible — structure your hours around your life, not the other way aroundFreelance autonomy: choose your own pace, work asynchronously, and collaborate globallyGain deep, hands-on exposure to how frontier LLMs are built and trainedContribute to work that genuinely matters — your expertise helps make AI smarter and more reliable for everyonePotential for ongoing work and contract extension as new projects launch

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