At the forefront of innovative technology, we are collaborating with leading organizations to push the boundaries of artificial intelligence and machine learning.
The ideal candidate will possess a strong background in theoretical and/or applied physics, as well as exceptional technical and academic writing skills. A master's or PhD in Physics or a closely related discipline is required, with experience in teaching, curriculum design, academic publishing, or textbook writing being highly valued.
* Key responsibilities include creating high-quality, accurate, and pedagogically sound content in physics, including conceptual explanations, problem sets and solutions, theoretical summaries and derivations, research abstracts and technical writing.
* The selected individual will work collaboratively with AI researchers and engineers to review and refine physics-related model outputs, identify and fill conceptual gaps in LLM training data, build datasets across a wide range of physics domains, and provide feedback to improve LLM performance.
Able to ensure consistency, depth, and scientific accuracy across all content, the successful candidate will also contribute to the development of content standards and annotation guidelines. Proficient in LaTeX, Markdown, or similar tools used for scientific documentation, they should be comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists.