OverviewInnodata (NASDAQ: INOD) is a leading data engineering company. We partner with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We have a global workforce and serve 2,000+ customers across multiple industries, delivering AI-enabled data solutions and platforms. We are looking for a Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI LLMs.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 content meets scientific rigor and aligns with industry best practices; stay up to date with the latest advancements in Chemistry and AI.Complete the English language assessment as part of the project requirements.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 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 abilities; detail-oriented with a passion for accuracy and scientific precision.Technical Skills (Preferred): Familiarity with AI, Machine Learning, and 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.Application NotesThe English language assessment is mandatory and non-billable.Interested candidates should share their updated resume.Job DetailsSeniority level: Entry levelEmployment type: Full-timeJob function: Research, Analyst, and Information TechnologyIndustries: Business Consulting and ServicesReferrals increase your chances of interviewing at Innodata Inc. by 2x. This listing also references related roles such as Freelance Chemistry - Quality Assurance (AI Trainer).
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