Chemistry Specialist

Innodata Inc.; Aracaju; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology firm is seeking candidates with a Master's or PhD in Chemistry for a role that involves training and evaluating Large Language Models. Responsibilities include developing domain-specific datasets, reviewing AI-generated content, and collaborating with AI researchers. Candidates must demonstrate strong analytical skills and excellent communication in English.

Qualificações

• Master's or PhD in Chemistry or related field.
• Strong theoretical and practical knowledge of chemistry concepts.
• Excellent written and verbal communication skills in English.

Responsabilidades

• Collaborate with researchers to train and evaluate Large Language Models.
• Develop accurate and domain-specific datasets.
• Review AI-generated content for technical accuracy.

Descrição da oferta de emprego

About the Role

At Innodata, we're working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs).

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: ******