Chemistry Specialist

Overview

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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 for major technology companies and industries such as 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 digital data solutions and 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 growth in the coming years. Our role involves 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, 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.
• As part of the project, complete the English language assessment.

• 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 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.
• Understanding of data quality control processes.
• The English language assessment is part of the project requirements.

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

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