 
        
        About the Role:
We seek a highly skilled individual with expertise in physics to join our team.
This role is ideal for physicists, researchers, and academics who are passionate about science communication and innovation.
Key Responsibilities:
 * Create high-quality datasets, including conceptual explanations of physics principles, problem sets, numerical solutions, detailed derivations, technical summaries, and scientific research briefs.
 * Build domain-specific datasets across various subfields of physics 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 large language model-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.
Eligibility Criteria:
 * Masters or PhD in Physics, Applied Physics, Engineering Physics, or a related discipline.
 * Strong foundation in theoretical and applied physics.
 * Demonstrated expertise in one or more areas: computational modeling, simulations, numerical methods, advanced topics, academic publishing, science communication, or curriculum design.
Preferred Skills:
 * Familiarity with AI/ML models, data annotation, and prompt engineering.
 * Experience in LaTeX, Python, or scientific computing tools.
 * Knowledge of AI fairness and bias detection in STEM datasets.
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.
 * Work remotely with flexibility and innovation-driven teams.