Physics Specialist

Overview Innodata (NASDAQ: INOD) is a leading data engineering company. We are a global AI technology solutions provider with more than 2,000 customers and operations in 13 cities. We combine advanced ML/AI technologies with a global workforce and high-security infrastructure to support the next generation of generative AI and large language models (LLMs). We are seeking a Physics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced LLMs by producing, curating, and reviewing high-quality educational and technical Physics content. Your expertise will shape how AI systems understand, explain, and reason about Physics concepts. Role status: At Innodata, we collaborate with the world\'s largest technology companies on the next generation of AI. We are looking for smart, curious subject matter experts to contribute to our AI/ML data initiatives. Key Responsibilities Create high-quality, accurate, and pedagogically sound content in physics, including Conceptual explanations, Problem sets and solutions, Theoretical summaries and derivations, and 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 LLM training data; Build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics, etc.); 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 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. Proficient in LaTeX, Markdown, or similar tools used for scientific documentation. Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists. As part of the project, you are required to complete the English language assessment. Eligibility & Application Notes The assessment is mandatory & non-billable If interested, kindly share your updated resume at : ****** #J-18808-Ljbffr