Chemistry Specialist

OverviewJoin 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 and industries including financial services, insurance, technology, law, and medicine.
We combine advanced machine learning and artificial intelligence technologies with a global workforce of subject matter experts and a high-security infrastructure to help usher in the promise of AI.
Innodata offers a powerful combination of digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.We are poised for a period of explosive growth over the next few years.
Role and 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 aligns with industry best practices.
Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies.
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 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.
As part of the project, you are required to complete the English language assessment.
Additional Information
The English language assessment is mandatory and non-billable.
If interested, share your updated resume at the contact provided in the posting.
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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