Chemistry Specialist

Overview

Innodata (NASDAQ: INOD) is a leading data engineering company providing AI technology solutions with a global workforce. 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 skilled Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI LLMs by ensuring chemistry concepts are accurate, relevant, and well contextualized for model understanding.

• 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 (conceptual explanations, technical documents, research abstracts, 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.

• 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.

• 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 an English language assessment. The assessment is mandatory and non-billable.

If interested, kindly share your updated resume at: (email address or apply link not provided in original)