Chemistry Specialist

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 top technology companies, 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.
Innodata offers digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
We are positioned for growth over the coming years.
About the Role: At Innodata, we work with the world's largest technology companies on the next generation of generative AI and large language models (LLMs).
We are seeking a highly motivated Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI LLMs.
As a Chemistry SME, you will guide AI models to understand 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, 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 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 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.
As part of the project, you are required to complete the English language assessment.
The assessment is mandatory and non-billable.
Additional Information
We encourage interested candidates to share their updated resume.
Seniority level
Entry level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Business Consulting and Services
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