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 major technology companies and industries.
We help usher in the promise of AI by combining advanced machine learning and artificial intelligence (ML/AI) with a global workforce of subject matter experts and a high-security infrastructure.Innodata offers a powerful combination of digital data solutions and high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
We are positioned for growth in the coming years.
Role purpose: We are seeking a highly skilled and motivated Chemistry Subject Matter Expert (SME) 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 the field of 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.As part of the project, you are required to complete the English language assessment.
Application DetailsThe assessment is mandatory and non-billable.If interested, kindly share your updated resume at: ******
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