Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer) About The Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex problems? We're looking for Machine Learning Engineers to help train cutting‑edge AI by demonstrating exactly how a skilled technical mind approaches and executes sophisticated challenges — step by step. This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch — you'll be teaching them how to think by producing the high‑quality reasoning data they learn from. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Construct precise, well‑structured logical workflows that demonstrate expert‑level problem‑solving for complex technical challenges. Document sequential reasoning processes — how a problem is broken down, what tools are selected, and why decisions are made at each step. Generate high‑quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment. Audit and refine AI‑generated reasoning traces, identifying gaps, errors, or flawed logic. Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively. Who You Are Experienced in machine learning, software engineering, or a closely related technical discipline. Able to articulate complex reasoning and multi‑step problem‑solving processes clearly and precisely. A sharp critical thinker who can evaluate whether a chain of logic is sound — and improve it when it isn't. Detail‑oriented and consistent, with a methodical approach to structured work. Comfortable working independently and asynchronously in a remote environment. Nice to Have Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field. Prior experience with data annotation, data quality assurance, or AI evaluation workflows. Familiarity with large language models (LLMs) and how they are trained or fine‑tuned. Background in technical writing, documentation, or instructional design. Why Join Us Work alongside leading AI research labs on genuinely frontier AI projects. Fully remote and flexible — structure your hours around your life, not the other way around. Freelance autonomy with access to meaningful, intellectually stimulating work. Build deep, practical insight into how the world's most advanced AI models are trained. Potential for ongoing work and contract extension as new projects launch. #J-18808-Ljbffr