Chemistry Specialist

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 and over 5,000 employees worldwide. We are an AI technology solutions provider serving a broad range of industries and clients, combining machine learning and artificial intelligence technologies with a global workforce and high-security infrastructure. We are working with the world's largest technology companies on the next generation of generative AI and 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, 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.
• 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 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.

• The assessment is mandatory & non-billable.
• To apply, share your updated resume at the provided contact.