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 worldwide. We are an AI technology solutions provider for major technology companies and organizations across financial services, insurance, technology, law, and medicine. By combining advanced ML/AI, a global workforce of subject matter experts, and a high-security infrastructure, we enable AI-driven data solutions and platforms.
We are working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We are looking for smart, savvy, and curious subject matter experts to contribute to the development and training of AI Large Language Models (LLMs).
Key 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 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.
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. The assessment is mandatory & non-billable.
*If interested, kindly share your updated resume at : ******
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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