Overview
Join to apply for the Chemistry Specialist role at Innodata Inc. Innodata (NASDAQ: INOD) is a leading data engineering company with operations in 13 cities worldwide and a focus on AI technology solutions. We are 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). As a Chemistry SME, you will guide AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain.
Key Responsibilities
* 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.
Key Qualifications
* 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 may be required to complete an English language assessment.
Details
* Seniority level: Entry level
* Employment type: Full-time
* Job function: Research, Analyst, and Information Technology
* Industries: Business Consulting and Services
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