Chemistry Specialist

OverviewInnodata (NASDAQ: INOD) is a leading data engineering company.
With more than 2,000 customers and operations in 13 cities worldwide, we provide AI technology solutions for major technology companies and organizations across financial services, insurance, technology, law, and medicine.
We combine advanced machine learning and AI technologies with a global workforce and high-security infrastructure to advance AI capabilities.
Innodata offers digital data solutions and high-quality platforms with a global workforce of over 5,000 employees across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
We are poised for growth in the coming years.Role overview: We are looking for a highly skilled Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI Large Language Models (LLMs) and guide AI models to understand complex chemistry concepts with accuracy and contextual relevance.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, 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 to improve training methodologies.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 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.Understanding of data quality control processes.Application detailsAssessment: The English language assessment is mandatory and non-billable.If interested, please share your updated resume.Seniorität ? EmploymentSeniority level: Entry levelEmployment type: Full-timeJob function: Research, Analyst, and Information TechnologyIndustries: Business Consulting and Services
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