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 of choice for major technology companies and organizations across financial services, insurance, technology, law, and medicine. We combine advanced machine learning and AI technologies with a global workforce of experts and a high-security infrastructure to support AI development.
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, the United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
We are poised for a period of growth. At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs).
Role and Responsibilities
Contribute as a Chemistry Subject Matter Expert (SME) to guide AI models to understand complex chemistry concepts, ensuring accuracy and contextual relevance.
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 and clarity in Chemistry.
Provide expert feedback on model outputs, identify 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 Advancements in Chemistry and AI to improve training methodologies.
Complete the English language assessment as part of the project.
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 LLMs; experience using annotation tools or content management platforms; basic knowledge of Python or data handling tools; understanding of data quality control processes.
Additional Information
As part of the project, you are required to complete the English language assessment. The assessment is mandatory and non-billable. If interested, please share your updated resume at the contact address provided.
Job 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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