Chemistry Specialist

Overview

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Innodata (NASDAQ: INOD) is a leading data engineering company with operations in 13 cities and over 2,000 customers. We are an AI technology solutions provider serving major technology companies and industries including financial services, insurance, technology, law, and medicine. We combine advanced ML/AI technologies with a global workforce and high-security infrastructure to advance AI capabilities.

At Innodata, we’re working with the world\'s largest technology companies on the next generation of generative AI and large language models (LLMs). We are seeking a highly skilled Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI LLMs.

• 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 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 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 English language 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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