Machine Learning Engineer

Charlotte

**Machine Learning Engineer (AI Training)** **About The Role** What if your deep technical expertise could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models --- not by writing model code, but by demonstrating the kind of expert, structured thinking that makes AI genuinely reliable in the real world. This is a fully remote, flexible contract role. You'll work with Alignerr, a team partnered with leading AI research labs, to produce high-quality reasoning traces and decision-making workflows that teach AI how to solve sophisticated technical challenges --- step by step, tool by tool. * 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 reasoning for complex ML and engineering problems * Document sequential decision-making processes --- how a skilled engineer strategizes, selects tools, and adapts when things go wrong * Generate rich training datasets that show AI models what proficient, real-world problem-solving actually looks like * Review and critically evaluate AI-generated reasoning steps, identifying gaps, errors, and areas for improvement * Work independently and asynchronously --- on your own schedule, at your own pace **Who You Are** * Professional background in Machine Learning, Software Engineering, or a related technical discipline * Exceptional ability to articulate complex reasoning processes in a clear, structured, and reproducible way * Strong critical thinking skills --- you can spot flawed logic and know how to correct it * Comfortable working with technical tools and documenting their use systematically * Advanced degree (Master's or PhD) in a relevant field **Nice to Have** * Prior experience with data annotation, data labeling, or AI evaluation pipelines * Familiarity with LLM capabilities, limitations, and training methodologies * Background in technical writing, research documentation, or knowledge engineering * Experience working across multiple ML domains --- NLP, computer vision, reinforcement learning, etc. **Why Join Us** * Work directly on projects with leading AI research labs pushing the frontier of what LLMs can do * Fully remote and flexible --- work when and where it suits you * Freelance autonomy with the structure of meaningful, intellectually stimulating work * Gain rare behind-the-scenes insight into how frontier AI models are trained and improved * Contribute to work that makes AI more reliable, capable, and trustworthy at scale * Potential for ongoing work and contract extension as new projects launch