Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer) About The Role What if your machine learning expertise could directly shape how AI reasons through complex problems — at a foundational level, before millions of people ever interact with it? We're partnering with the world's leading AI research labs to improve how large language models think, plan, and act. We're looking for Machine Learning Engineers to help build the training data that teaches AI to reason like an expert — step by step, tool by tool, decision by decision. This is a fully remote, flexible contract role designed for technical professionals who think rigorously and communicate clearly. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design and document precise, step-by-step reasoning workflows for sophisticated technical challengesRecord how an expert strategizes, selects tools, and makes decisions when solving real-world ML problemsProduce high-quality training datasets that demonstrate proficient, structured problem-solving for AI modelsAudit and refine AI-generated reasoning traces — identifying gaps, errors, and logical inconsistenciesTranslate complex technical processes into clear, well-organized logs that AI systems can learn from Who You Are Professional background in Machine Learning, Software Engineering, or a related technical disciplineAble to break down intricate reasoning and methodology into clear, sequential stepsStrong critical thinker — you can spot flawed logic and know how to correct itDetail-oriented and consistent, with a systematic approach to documentationComfortable working independently and asynchronously on task-based projectsMaster's Degree or PhD in a relevant field Nice to Have Prior experience with data annotation, data labeling, or AI evaluation workflowsFamiliarity with how large language models are trained or fine-tunedBackground in prompt engineering, RLHF, or AI alignment researchExperience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc. Why Join Us Work directly on cutting-edge AI projects alongside top research labs and AI teamsFully remote and flexible — structure your work around your scheduleGain rare, behind-the-scenes exposure to how state-of-the-art LLMs are trained and improvedFreelance autonomy with meaningful, intellectually stimulating workPotential for ongoing work and contract extension as new projects launch