Remote Physics Subject Matter Expert for AI Training

Alignerr Corp.; France; Teletrabalho; EUR 83 000 - 138 000; Tempo parcial

Resumo da oferta

Alignerr is seeking a Physics Subject Matter Expert (AI Training) to help shape next‑gen AI reasoning. You will design challenging physics problems across mechanics, electromagnetism, thermodynamics and quantum topics, and develop rigorous solution steps for expert validation.

You will evaluate AI outputs for scientific accuracy and coherence, collaborate with research teams on benchmarks from undergraduate to Masters level, and provide clear, actionable feedback to improve model performance.

Qualificações

• Pursuing or completed Masters in Physics or related field.
• Strong problem-solving across advanced physics domains.
• Clear and precise written communication of complex concepts.
• Detail-oriented with high accuracy and rigor.
• Self-motivated, able to work independently and asynchronously.
• No prior AI experience required.

Responsabilidades

• Design advanced physics problems across mechanics, electromagnetism, thermodynamics, quantum mechanics, and more.
• Develop rigorous, step-by-step solutions that demonstrate expert-level reasoning.
• Evaluate AI-generated outputs for scientific accuracy, logical coherence, and solution quality
• Collaborate with research teams to develop and refine benchmarks across undergraduate to Masters-level physics topics
• Provide structured, actionable feedback that directly improves AI model performance

Conhecimentos

Problem solving

Physics expertise

Written communication

Self-motivation

Independent work

Formação académica

Masters in Physics

Descrição da oferta de emprego

Alignerr is seeking a Physics Subject Matter Expert (AI Training) to help shape next‑gen AI reasoning. You will design challenging physics problems across mechanics, electromagnetism, thermodynamics and quantum topics, and develop rigorous solution steps for expert validation.

You will evaluate AI outputs for scientific accuracy and coherence, collaborate with research teams on benchmarks from undergraduate to Masters level, and provide clear, actionable feedback to improve model performance.