Chemistry Specialist

3 semanas atrás


São Carlos, Brasil Innodata Inc. Tempo inteiro

Overview

Innodata (NASDAQ: INOD) is a leading data engineering company with more than 2,000 customers and operations in 13 cities. We are an AI technology solutions provider serving the world\'s biggest technology companies and other sectors, combining AI technologies with a secure infrastructure and a global workforce of subject matter experts to enable AI advancements. Innodata offers digital data solutions and high-quality platforms, with over 5,000 employees globally. We are positioned for growth.

About The Role

At Innodata, we are working with the world\'s largest technology companies on the next generation of generative AI and large language models (LLMs). We are seeking a highly skilled Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI LLMs. As a Chemistry SME, you will guide AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the 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 is aligned with industry best practices.
  • Stay up to date with the latest advancements in Chemistry and AI to continually 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.
  • English language assessment submission is required as part of the project; the assessment is mandatory and non-billable.
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