Applied Physics Benchmark Reviewer and Author
About the role
OpenTrain AI is hiring an Applied Physics Benchmark Reviewer and Author to create and evaluate graduate-level physics questions used to benchmark AI systems, spanning quantum optics, semiconductor physics, plasma physics, and related fields. This worldwide, part-time remote contractor role pays $61–$77/hour for 20+ hours weekly. The listing is tagged 'entry level' on the site, but OpenTrain's own posting states doctoral-level physics training is central to the work.
What you'll do
- Author original physics questions testing conceptual understanding, not surface recall, across fields like quantum optics, semiconductor physics, and plasma physics.
- Review existing benchmark questions for accuracy, clarity, and solvability, and edit as needed.
- Rate questions as medium, hard, or expert, and develop plausible-but-incorrect distractor answers.
- Prepare step-by-step solutions with 1–5 peer-reviewed or university references per question.
Requirements
- PhD or doctoral candidacy in Physics, Applied Physics, Astrophysics, or a closely related field.
- Strong command of graduate-level physics concepts and mathematical formalism.
- Depth in at least one covered physics domain (e.g., quantum optics, semiconductor physics, plasma physics, geophysics).
- Ability to explain mathematical reasoning clearly in written English.
About OpenTrain AI
OpenTrain AI is a talent marketplace for AI training and data-labeling work, connecting freelance contributors with RLHF, evaluation, annotation, and red-teaming projects from AI companies, and aggregating listings from other data-labeling platforms into one job feed.
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