AI Physics Content Developer
We are seeking a highly skilled AI physics content developer to join our team. As an expert in theoretical and applied physics, you will play a crucial role in developing high-quality datasets for large-scale AI models.
* Create detailed explanations of physics principles (classical, quantum, and modern physics).
* Develop problem sets and numerical solutions for complex physics problems.
* Become proficient in advanced topics such as computational modeling, simulations, or numerical methods.
About the Role:
You will collaborate with top-tier researchers and engineers globally to shape the future of AI by embedding physics expertise into large-scale models. Your key responsibilities will include developing domain-specific datasets across physics subfields such as mechanics, thermodynamics, and electromagnetism.
Key Responsibilities:
* Content Development:
* Create conceptual explanations of physics principles.
* Develop problem sets and numerical solutions.
* Detailed derivations of equations and laws.
* Technical summaries and scientific research briefs.
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.
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.
Requirements:
* Master's or PhD in Physics, Applied Physics, Engineering Physics, or a related discipline (PhD preferred).
* Strong foundation in theoretical and applied physics.
* Demonstrated expertise in one or more areas: computational modeling, simulations, or numerical methods, or advanced topics.
Preferred Skills:
* Familiarity with AI/ML models, data annotation, and prompt engineering.
* Experience in LaTeX, Python, or scientific computing tools.
Why Join Us?
* Shape the future of AI by embedding physics expertise into large-scale models.
* Collaborate with top-tier researchers and engineers globally.
* Influence next-gen AI capabilities in scientific reasoning.