Chemistry Specialist
Há 2 dias
Overview
Innodata (NASDAQ: INOD) is a leading data engineering company partnering with the world\'s largest technology companies on AI and generative models. We operate with a global workforce, advanced ML/AI technologies, and a high-security infrastructure to deliver digital data solutions and high-quality platforms.
Our global team includes over 5,000 employees across the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We are positioned for significant growth in the coming years.
About the RoleWe are working with the world\'s largest technology companies on the next generation of generative AI and large language models (LLMs). We are seeking smart, curious, and driven subject matter experts.
Role: Chemistry Subject Matter Expert (SME)
You will contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will guide AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the chemistry domain.
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 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 aligns with industry best practices.
- Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies.
- 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.
- 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 and non-billable.
How to ApplyIf interested, kindly share your updated resume at:
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