Machine Learning Engineer

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.