About the Role:
We are seeking an accomplished physics specialist to contribute to our AI training team.
You will play a pivotal role in developing, curating, and evaluating advanced physics content to enhance AI models' reasoning, accuracy, and ability to explain complex physics concepts.
This position is ideal for physicists, researchers, and academics passionate about science communication and AI innovation.
Key Responsibilities:
* Create high-quality physics datasets, including conceptual explanations of physics principles (classical, quantum, and modern physics).
* Problem sets and numerical solutions.
* Detailed derivations of equations and laws.
* Technical summaries and scientific research briefs.
* Build domain-specific datasets across physics subfields such as Mechanics, Thermodynamics, Electromagnetism, Quantum Mechanics, Particle Physics, Nuclear Physics, Astrophysics, Relativity, Cosmology, Materials Science, Condensed Matter Physics, Computational Physics, and Applied Physics.
Model Evaluation & AI Training:
* Evaluate LLM-generated physics content for accuracy, clarity, rigor, and logical reasoning.
* Detect and correct conceptual gaps, numerical errors, and inconsistencies in AI outputs.
* Help define data quality standards and evaluation rubrics for scientific reasoning.
Collaboration & R&D:
* Work closely with AI engineers, computational linguists, and data scientists to improve AI reasoning.
* Provide domain expertise for designing AI benchmarks and test scenarios.
* Contribute to research on physics education, simulation modeling, and AI-assisted scientific research.