Chemistry Specialist

Overview

Innodata (NASDAQ: INOD) is a leading data engineering company. We partner with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We have a global workforce and serve 2,000+ customers across multiple industries, delivering AI-enabled data solutions and platforms. We are looking for a 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 content meets scientific rigor and aligns with industry best practices; stay up to date with the latest advancements in Chemistry and AI.
• Complete the English language assessment as part of the project requirements.

• 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 abilities; 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.

• The English language assessment is mandatory and non-billable.
• Interested candidates should share their updated resume.

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

Referrals increase your chances of interviewing at Innodata Inc. by 2x. This listing also references related roles such as Freelance Chemistry - Quality Assurance (AI Trainer).