Chemistry Specialist

Overview

Innodata (NASDAQ: INOD) is a leading data engineering company. 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.

• 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.

• The English language assessment is mandatory and non-billable.
• If interested, please share your updated resume at the provided contact.

• Entry level

• Full-time

• Research, Analyst, and Information Technology

• Business Consulting and Services