Job Description
OpenTrain partners with leading AI companies to build safer, smarter systems.
We hire subject-matter experts to audit and improve model reasoning.
We're seeking
Physics QA / AI Trainers
to review physics prompts and model responses, verify step-by-step reasoning, and author improved solutions and prompts that raise quality and rigor.
Individual contractors and qualified agencies are welcome.
What you'll do
- Audit physics Q&A and model outputs for correctness, clarity, notation, and experimental/quantitative rigor across mechanics, E&M, thermodynamics, quantum, and applied physics.
- Evaluate responses against detailed QA rubrics; assign ratings and write concise rationales.
- Draft improved prompts, gold-standard solutions, and constructive feedback (SFT/RLHF/evaluation).
- Run quick validation checks in
Python
(e.g., sanity checks, symbolic/numercial verification; NumPy/SymPy/Pandas a plus).
- Identify edge cases, propose rubric refinements, and help enforce consistent quality standards.
Minimum Qualifications
- 3+ years
professional/academic experience in physics or a closely related domain (applied physics, engineering, scientific computing).
- Bachelor's in Physics or related field (
Master's/PhD preferred
).
- Practical
Python
skills for analysis/simulation/validation scripts.
- Ability to review multi-step derivations, equations, units, and assumptions across core topics.
- Strong written English; comfortable following detailed QA rubrics and writing clear, actionable feedback.
- Reliable computer/internet; responsive and detail-oriented.
Nice to Have
- Teaching/lecturing, tutoring, or problem-set/rubric design experience.
- Prior LLM QA/RLHF/SFT or scientific content review experience.
Contract & Schedule
- Type:
Contract (independent contractor), remote.
- Hours:
Target
~20 hours/week
(flexible, part-time).
- Duration:
3–6 months
(potential extension).
- Compensation:
USD $6–$55/hour
(target
$40/hour
).
- Openings:
~30 roles.
About OpenTrain
OpenTrain equips cutting-edge AI with high-quality, human-grounded feedback.
As a contractor, you'll help shape how next-generation AI reasons through university-level physics.
Location
Global (remote).
Restricted locations (not eligible, comma-separated):
Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia