Chemistry Specialist

Overview Join to apply for the Chemistry Specialist role at Innodata Inc. 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 as well as leaders in financial services, insurance, technology, law, and medicine. Through combining advanced machine learning and AI, a global workforce of subject matter experts, and a secure infrastructure, we support 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 across multiple regions. We’re seeking a smart, curious subject matter expert to contribute to the development and training of AI Large Language Models (LLMs) in the Chemistry domain. 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 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 industry best practices; stay up to date with advances in Chemistry and AI to improve training methodologies. Engage in ongoing learning to enhance training methodologies and model performance. 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 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. English language assessment may be required as part of the project. Details Seniority level: Entry level Employment type: Full-time Job function: Research, Analyst, and Information Technology Industries: Business Consulting and Services Application note Referrals increase your chances of interviewing. If interested, share your updated resume at the address provided in the posting. #J-18808-Ljbffr