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OpenTrain AI, Inc. is seeking individuals with deep physics knowledge to help improve AI systems through rigorous question design and evaluation. You will craft challenging physics questions and assess AI-generated answers for accuracy and validity.
The role is an asynchronous, hourly contract described as flexible with a remote work setup. Candidates should have doctoral study or a completed graduate degree in physics or a closely related field, and experience in quantitative reasoning and
You will help improve AI systems that need stronger physics reasoning, mathematical modeling, and quantitative problem-solving. Your work will focus on writing rigorous questions and reviewing the answers generated by AI.
You will explain whether each response is scientifically accurate, mathematically sound, logically consistent, and physically valid.
This is flexible, asynchronous, hourly contract work. Prior AI or technical experience is not required, but you must have advanced physics knowledge and be able to assess technical explanations carefully.
AI training is the human work behind systems that learn from examples, including writing questions and evaluating model responses. People with specialized knowledge help check whether AI outputs are accurate, useful, and sound.