Chemistry Specialist

OverviewJoin to apply for the Chemistry Specialist role at Innodata Inc.Innodata (NASDAQ: INOD) 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 for diverse industries.
We help usher in the promise of AI through advanced ML/AI technologies, subject matter experts, and a high-security infrastructure.
Innodata offers digital data solutions and easy-to-use platforms with a global workforce of over 5,000 employees.We're looking for smart, curious subject matter experts to contribute to the development and training of AI Large Language Models (LLMs).
RoleChemistry Subject Matter Expert (SME) to guide AI models in understanding complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain.
Responsibilities
Collaborate 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 industry best practices.
Stay up to date with the latest advancements in Chemistry and AI to improve training methodologies.
Key Qualifications
Master'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 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.
Technical Skills (Preferred): Familiarity with AI/ML and LLMs; experience with annotation tools or content management; basic knowledge of Python or data handling tools; understanding of data quality control processes.
English language assessment is part of the project requirements.
Employment Details
Seniority level: Entry level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
Industries: Business Consulting and Services
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