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 of choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we are helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

We are poised for a period of explosive growth over the next few years. About the Role: 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 and motivated Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI Large Language Models (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 & non-billable.

If interested, kindly share your updated resume at : ******