Materials AI Data Extraction Intern

PatSnap

Singapore

On-site

SGD 17,000 - 28,000

Part time

14 days+

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Job summary

Patsnap is offering an internship in Singapore for students eager to apply AI and data tech to materials science. You will build workflows to extract and structure information from patents, literature, and other documents, using Python and SQL for data cleaning and analysis.

The role welcomes candidates from materials science, chemistry, chemical engineering, or CS/AI/Data Science backgrounds, with curiosity and willingness to learn. No industry experience required.

Qualifications

  • Pursuing a Bachelor’s or Master’s degree in Materials Science, Chemistry, Chemical Engineering, Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related discipline.

Responsibilities

  • 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.

Skills

Python
SQL
Logical thinking
Communication

Education

Bachelors or Masters in STEM

Tools

ChatGPT
Claude
NLP tools

Job description

Patsnap is offering an internship in Singapore for students eager to apply AI and data tech to materials science. You will build workflows to extract and structure information from patents, literature, and other documents, using Python and SQL for data cleaning and analysis.

The role welcomes candidates from materials science, chemistry, chemical engineering, or CS/AI/Data Science backgrounds, with curiosity and willingness to learn. No industry experience required.

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