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Physics AI Response Evaluation Expert

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: OpenTrain AI, Inc.
Part Time position
Listed on 2026-11-06
Job specializations:
  • Research/Development
    Mathematics, Physics, AI Evaluation, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 75 USD Hourly USD 75.00 HOUR
Job Description & How to Apply Below
The work

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.

  • Create questions based on advanced physics concepts.
  • Review AI-generated responses for scientific accuracy and physical validity.
  • Check whether reasoning is logically consistent and mathematically sound.
  • Give clear feedback on technical problem-solving across relevant physics areas.
What it pays and takes

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.

  • Pay:
    Up to $75 per hour.
  • Work style:
    Remote and asynchronous.
  • Schedule:

    Flexible participation, commonly about 5 to 20 hours per week on an active project; the listing indicates a 20+ hour weekly requirement.
  • Location:

    United States.
  • Language:
    English.
  • Education:

    Doctoral study or a completed graduate degree in physics or a closely related field.
  • Background:
    Strong physical reasoning, quantitative problem-solving, mathematical modeling, and theoretical analysis skills.
  • Knowledge:
    Classical mechanics, electromagnetism, quantum mechanics, statistical mechanics, or related areas.
About AI training work

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.

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