AI & Data Engineering Intern (Materials Data Extraction)

About Patsnap

Founded in Singapore, Patsnap is a global innovation intelligence company serving more than 18,000 organisations worldwide. We combine patent, scientific, chemical, materials, and life sciences data with domain-specific AI products to help R&D and IP teams make better decisions across the innovation lifecycle.

About the Role

We are looking for an intern who is interested in applying AI and data technologies to materials science. You will help build workflows that extract and structure technical information from materials-related patents, scientific literature, and other documents.

This internship is suitable for students from either of the following backgrounds:

- Materials science, chemistry, chemical engineering, or related disciplines, with an interest in programming and AI; or

- Computer science, artificial intelligence, data science, or related disciplines, with an interest in scientific and materials data.

You do not need prior industry experience or deep expertise in large language models. We value curiosity, logical thinking, basic programming skills, and the ability to learn through experimentation.

What You’ll Be Doing

- Process and extract structured information from materials-related patents, scientific literature, and technical documents.

- Design and test prompts, input formats, and extraction workflows using large language models.

- Use Python and SQL for data cleaning, transformation, batch processing, and result analysis.

- Review model outputs, identify common errors, and improve results through changes to prompts, rules, data, or workflows.

- Help build test cases, annotation guidelines, evaluation datasets, and quality checks.

- Turn successful experiments into reusable scripts, tools, or automated workflows with guidance from the team.