Chemistry Specialist

Overview

Join to apply for the Chemistry Specialist role at Innodata Inc. Innodata is hiring to support the development and training of AI Large Language Models (LLMs) with a focus on Chemistry content.

• Collaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate LLMs with emphasis 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 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 advances 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 with data annotation, content development, or training AI models is a plus.
• Excellent written and verbal English communication skills.
• Strong analytical and problem-solving skills; detail-oriented with a passion for accuracy and scientific precision.

• 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.
• English language assessment is required as part of the project (mandatory & non-billable).

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

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