Machine Learning Researcher, Part-Time AI Task Review - Remote (United States)

Role overview Help improve AI systems by creating and evaluating challenging machine learning and numerical computing tasks. You will develop reference solutions, assess model-generated code, and explain failures, applying professional research or engineering judgment on a flexible, part-time schedule.

Responsibilities - Design coding challenges for model development and numerical computing, with clear correctness and performance criteria. - Write reliable reference implementations for training pipelines and inference systems. - Evaluate machine learning code for correctness and performance. - Reproduce numerical or system-level failures and explain their causes.

Requirements - A master’s or doctoral degree in machine learning, AI, computer science, engineering, statistics, applied mathematics, or a related quantitative field. - Strong machine learning experience gained through professional work or research. - Proficiency with Python and practical use of coding agents for coding-intensive work.

Benefits and work setup - Remote, part-time contract work for people based in the United States. - Approximately 15 hours per week, with a flexible schedule and no minimum shift. - Pay equivalent to $60–$120 per hour, issued per accepted task.