OverviewJoin to apply for the Chemistry Specialist role at Innodata Inc.Innodata (NASDAQ: INOD) is a leading data engineering company. We serve more than 2,000 customers with operations in 13 cities worldwide and provide AI technology solutions for diverse industries including financial services, technology, law, and medicine. Our global workforce of subject matter experts and secure infrastructure support the development and deployment of AI at scale.About the RoleAt 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 seeking a smart, savvy, and curious subject matter expert to contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will guide AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain.Key ResponsibilitiesCollaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate Large Language Models with a focus on Chemistry content.Develop high-quality, accurate, and domain-specific datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content.Review and validate AI-generated content for technical accuracy, clarity, and contextual relevance in Chemistry.Provide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning.Assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data.Ensure all content meets scientific rigor and is aligned with industry best practices.Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies.Key QualificationsMaster's or PhD in Chemistry, Chemical Engineering, or related scientific field.Strong theoretical and practical knowledge of chemistry concepts (Organic, Inorganic, Physical, Analytical, Biochemistry, etc.).Prior experience in academic research, technical writing, or teaching is highly desirable.Experience working with data annotation, content development, or training AI models is a plus.Excellent written and verbal communication skills in English.Strong analytical and problem-solving skills.Detail-oriented with a passion for accuracy and scientific precision.Technical Skills (Preferred)Familiarity with AI, Machine Learning, and Large Language Models (LLMs).Experience using annotation tools or content management platforms.Basic knowledge of Python or data handling tools (preferred but not mandatory).Understanding of data quality control processes.English language assessment is mandatory as part of the project.*The assessment is mandatory & non-billable*ApplicationIf interested, kindly share your updated resume at: ******Job DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Research, Analyst, and Information TechnologyIndustries: Business Consulting and ServicesReferrals increase your chances of interviewing at Innodata Inc. by 2x
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