PbInnodata (NASDAQ: INOD) /b is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. /ppBy combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. /ppOur global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. /ppbr/ppbAbout the Role: /b /ppbr/ppAt Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. /ppbr/ppWe are seeking a highly skilled and motivated bChemistry Subject Matter Expert (SME) /b to contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will play a critical role in guiding AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain. /ppbr/ppbKey Responsibilities: /b /ppbr/pulliCollaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate Large Language Models with a focus on Chemistry content. /liliDevelop high-quality, accurate, and domain-specific datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content. /liliReview and validate AI-generated content for technical accuracy, clarity, and contextual relevance in the field of Chemistry. /liliProvide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning. /liliAssist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data. /liliEnsure all content meets scientific rigor and is aligned with industry best practices. /liliStay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies. /li /ulpbr/ppbKey Qualifications: /b /ppbr/pulliMaster’s or PhD in Chemistry, Chemical Engineering, or related scientific field. /liliStrong theoretical and practical knowledge of chemistry concepts (Organic, Inorganic, Physical, Analytical, Biochemistry,polymer chemistry,radiation chemistry etc.). /liliPrior experience in academic research, technical writing, or teaching is highly desirable. /liliExperience working with data annotation, content development, or training AI models is a plus. /liliExcellent written and verbal communication skills in English. /liliStrong analytical and problem-solving skills. /liliDetail-oriented with a passion for accuracy and scientific precision. /li /ulpbr/ppbTechnical Skills (Preferred): /b /ppbr/pulliFamiliarity with AI, Machine Learning, and Large Language Models (LLMs) /liliExperience using annotation tools or content management platforms. /liliBasic knowledge of Python or data handling tools (preferred but not mandatory). /liliUnderstanding of data quality control processes. /li /ulpbr/ppAs part of the project, you are required to complete the English language assessment. /pp*The assessment is mandatory non-billable* /ppbr/ppbr/ppIf interested, kindly share your updated resume at : /p