Chemistry Specialist

Overview

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 a wide range of industries. We combine advanced ML/AI technologies with a global workforce and high-security infrastructure to support AI initiatives. Innodata offers digital data solutions and high-quality platforms, with a global workforce of over 5,000 employees in multiple regions.

We are seeking a highly skilled 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.

• 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 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.

• 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 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.

• The assessment is mandatory and non-billable.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industries: Business Consulting and Services

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