Physics Specialist

1 semana atrás


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About the Role Innodata is a global AI technology solutions provider that partners with leading technology companies on the next generation of generative AI and large language models (LLMs). We are seeking a Physics Subject Matter Expert to join our AI/ML data team and produce, curate, and review high‑quality educational and technical Physics content to train advanced LLMs. Key Responsibilities Create high‑quality, accurate, and pedagogically sound physics content, including conceptual explanations, problem sets and solutions, theoretical summaries and derivations, research abstracts, and technical writing. Collaborate with AI researchers and engineers to review and refine physics‑related model outputs, identify and fill conceptual gaps in training data, and build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics). Provide feedback to improve LLM performance in reasoning, solving, and communicating physics content. Ensure consistency, depth, and scientific accuracy across all content. Contribute to the development of content standards and annotation guidelines. Qualifications & Eligibility Criteria Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered). Strong background in theoretical and/or applied physics. Excellent technical and academic writing skills. Experience in teaching, curriculum design, academic publishing, or textbook writing. Strong analytical and problem‑solving skills. Proficiency in LaTeX, Markdown, or similar tools used for scientific documentation. Comfortable working in fast‑paced, cross‑functional teams with engineers, linguists, and data scientists. Must complete an English language assessment (mandatory & non‑billable). Additional Information Seniority level: Entry level Employment type: Full‑time Job function: Research, Analyst, and Information Technology Industries: Business Consulting and Services #J-18808-Ljbffr


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