Physics Specialist

1 month ago—Be among the first 25 applicants. Innodata (NASDAQ: INOD) is a leading data engineering company that provides AI technology solutions to over 2,000 customers in 13 cities worldwide. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject‑matter experts, and a high‑security infrastructure, we help usher in the promise of AI. Our global workforce includes more than 5,000 employees across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany. We are poised for explosive growth over the next few years. At Innodata, we are working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We are looking for smart, savvy, and curious subject‑matter experts 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 the way AI systems understand, explain, and reason about fundamental and advanced Physics concepts. Key ResponsibilitiesCreate 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 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 QualificationsMaster’s or Ph.D. 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 an English‑language assessment. The assessment is mandatory and non‑billable. If interested, kindly share your updated resume at: ****** #J-18808-Ljbffr