AI Physics Trainer & Model Evaluator

RemoExperts; United States; Remoto; USD 69.000 - 110.000; Tempo pieno

Descrizione del lavoro

AI Trainer Jobs in the United States is seeking physicists to train and evaluate AI models on physics content. You will analyse physics documents, create and review problems, validate analytical solutions and correct model errors in physical reasoning.

Responsibilities include reading and summarising papers, writing problems across topics, carrying out calculations, and providing structured feedback while following project guidelines in a fully remote setting.

Competenze

• Advanced degree (MSc or PhD) in physics or related discipline.
• 2+ years of professional experience in academia, a laboratory or industry.
• Broad command of core physics (classical mechanics, electromagnetism, quantum mechanics, thermodynamics).
• Excellent written English.
• Reliable, detail-oriented, and able to work independently and meet deadlines in a remote setting.

Mansioni

• Read and summarise physics papers and technical documents.
• Write and review problems across a range of physics topics.
• Pull out key data, carry out detailed calculations and check analytical solutions.
• Find and correct errors in AI-generated physical reasoning, units and arithmetic.
• Write rubrics and reference solutions.
• Give structured written feedback on model outputs.
• Follow project guidelines, take part in calibration and review sessions, and incorporate feedback to keep quality consistent.

Conoscenze

Written English

Remote work ability

Formazione

MSc or PhD in physics

Strumenti

Simulation tools

Data-analysis tools

Descrizione del lavoro

AI Trainer Jobs in the United States is seeking physicists to train and evaluate AI models on physics content. You will analyse physics documents, create and review problems, validate analytical solutions and correct model errors in physical reasoning.

Responsibilities include reading and summarising papers, writing problems across topics, carrying out calculations, and providing structured feedback while following project guidelines in a fully remote setting.