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 quantitative / experimental rigor across mechanics, electromagnetism, 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 / numerical verification; NumPy / SymPy / Pandas helpful).
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 : ~ 20 hours / week (flexible; minimum 20 hrs / week ).
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 expert-reviewed data and rigorous evaluation. As a contractor, you’ll help shape how next-generation AI reasons through university-level physics.
Location
Global (remote).
Trainer • Nagpur, Maharashtra, India