Physics subject matter expert

Job Title:Physics Subject Matter Expert – AI Training & Content DevelopmentAbout Innodata:Innodata (NASDAQ: INOD) is aglobal leader in data engineering and AI-powered solutions , working with4 of the top 5 global technology companiesand over2,000 enterprise clients worldwide. Operating in13 global locationswith a workforce of5,000+ subject matter experts , Innodata leads innovation inmachine learning (ML), natural language processing (NLP), and large language model (LLM) training.By combiningcutting-edge AI technology, deep domain expertise, and secure infrastructure , Innodata delivers transformative solutions that power the next generation of intelligent systems.About the Role:We are seeking aPhysics Subject Matter Expert (SME)with exceptional analytical, problem-solving, and writing skills to join ourAI/LLM training team.You will play a crucial role indeveloping, curating, and evaluating advanced physics contentto enhance AI models’ reasoning, accuracy, and ability to explain complex physics concepts.This role is ideal forphysicists, researchers, and academicspassionate about science communication and AI innovation.Key Responsibilities:Content Development:Createhigh-quality physics datasets , including:Conceptual explanations of physics principles (classical, quantum, and modern physics).Problem sets and numerical solutions.Detailed derivations of equations and laws.Technical summaries and scientific research briefs.Builddomain-specific datasetsacross physics subfields such as:Mechanics, Thermodynamics, and ElectromagnetismQuantum Mechanics, Particle Physics, and Nuclear PhysicsAstrophysics, Relativity, and CosmologyMaterials Science and Condensed Matter PhysicsComputational Physics and Applied PhysicsModel Evaluation & AI Training:Evaluate LLM-generated physics content foraccuracy, clarity, rigor, and logical reasoning.Detect and correctconceptual gaps, numerical errors, and inconsistenciesin AI outputs.Help definedata quality standards and evaluation rubricsfor scientific reasoning.Collaboration & R&D:Work closely withAI engineers, computational linguists, and data scientiststo improve AI reasoning.Providedomain expertisefor designing AI benchmarks and test scenarios.Contribute to research onphysics education, simulation modeling, and AI-assisted scientific research.Eligibility Criteria:Master’s or Ph DinPhysics, Applied Physics, Engineering Physics, or a related discipline(Ph D preferred).Strong foundation intheoretical and applied physics.Demonstrated expertise in one or more areas:Computational modeling, simulations, or numerical methods.Advanced topics (e.g., quantum field theory, condensed matter, astrophysics).Proven experience inacademic publishing, science communication, or curriculum design.Strong technical writing skills and ability to explaincomplex concepts clearly.Preferred Skills:Familiarity withAI/ML models, data annotation, and prompt engineering(bonus).Experience inLa Te X, Python, or scientific computing tools.Knowledge ofAI fairness and bias detectionin STEM datasets.Why Join Innodata?Shape the future of AI by embeddingphysics expertiseinto large-scale models.Collaborate withtop-tier researchers and engineersglobally.Influencenext-gen AI capabilitiesin scientific reasoning.Work remotely withflexibility and innovation-driven teams.Additional Information:Candidates must complete anEnglish Language Assessment.Mandatory and non-billable step.