Remote AI Physics Training Specialist (Masters)

Alignerr Corp.; Sheffield (TX); Remote; USD 34,000 - 83,000; Part time

Benefits offered by this job

High autonomy

Variety in your work

Global collaboration

Job summary

Alignerr is seeking physics graduates to train and evaluate AI models using advanced physics knowledge. This fully remote, hourly contract role fits around your schedule, whether you are mid-degree or recently graduated. 10–40 hours per week with global collaboration opportunities.

You will design physics problems, develop rigorous solutions, evaluate AI reasoning, and provide feedback to improve AI performance on physics benchmarks.

Qualifications

• Master's degree in Physics, Applied Physics, or closely related field.
• Strong analytical and problem-solving skills across physics domains.
• Able to communicate complex concepts clearly in writing.
• Detail-oriented with a systematic approach to evaluating reasoning quality.
• Self-motivated and comfortable working independently and asynchronously.
• No prior AI experience required.

Responsibilities

• Design advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more.
• Develop clear, rigorous step-by-step solutions that demonstrate expert-level reasoning.
• Evaluate AI-generated responses for scientific accuracy, logical soundness, and quality.
• Collaborate with researchers to refine and expand benchmarks across undergraduate to Masters-level physics.
• Provide structured, actionable feedback that helps AI models improve over time.

Skills

Analytical skills

Written communication

Physics knowledge

Education

Master's degree in Physics

Job description

Alignerr is seeking physics graduates to train and evaluate AI models using advanced physics knowledge. This fully remote, hourly contract role fits around your schedule, whether you are mid-degree or recently graduated. 10–40 hours per week with global collaboration opportunities.

You will design physics problems, develop rigorous solutions, evaluate AI reasoning, and provide feedback to improve AI performance on physics benchmarks.