As a renowned physicist with expertise in scientific communication, you will be responsible for crafting high-quality physics datasets. These datasets will encompass conceptual explanations of fundamental principles, problem sets and numerical solutions, detailed derivations of equations and laws, technical summaries, and scientific research briefs.
Key Responsibilities:
* Create comprehensive datasets across various subfields of physics, including Mechanics, Thermodynamics, Electromagnetism, Quantum Mechanics, Particle Physics, Nuclear Physics, Astrophysics, Relativity, Cosmology, Materials Science, and Condensed Matter Physics.
* Develop domain-specific datasets for Computational Physics and Applied Physics.
Evaluation & AI Training:
* Assess the accuracy, clarity, rigor, and logical reasoning of LLM-generated physics content.
* Identify and correct conceptual gaps, numerical errors, and inconsistencies in AI outputs.
* Contribute to defining data quality standards and evaluation rubrics for scientific reasoning.
Collaboration & Research:
* Collaborate with AI engineers, computational linguists, and data scientists to enhance AI reasoning.
* Provide expert input for designing AI benchmarks and test scenarios.
* Participate in research on physics education, simulation modeling, and AI-assisted scientific research.