Winter 2027 Library Science Co-op

About the Role

Anduril Industries is a defense technology company transforming U.S. and allied military capabilities. The Maritime Digital Production team builds the digital systems behind Anduril's maritime build chain, including data pipelines, contextualization layers, workflow and execution tools, applied intelligence, and interfaces between operational technology (OT) and information technology (IT).

About the Job

This role focuses on cataloging and structuring factory data. Raw data from the factory floor lacks meaning without context. You will build vocabularies, hierarchies, and metadata standards to give this data meaning, collaborating with data engineers and manufacturing engineers. This is an opportunity to build a taxonomy and see it applied in a production environment.

Key Responsibilities

• Develop and maintain controlled vocabularies for equipment, materials, processes, and locations across the build chain.
• Build asset hierarchies and naming conventions to structure plant-floor data into a consistent model.
• Write and apply metadata schemas for industrial data sources, documenting field meanings and usage.
• Catalog data sources and maintain entries in the team's data catalog, including provenance and ownership.
• Audit existing tags and data models for inconsistencies and gaps, and propose corrections.
• Document standards and authoring guidelines to ensure naming consistency.
• Collaborate with data and manufacturing engineers to validate that models accurately reflect shop floor operations.
• Present work to the team at the end of the session.

Requirements & Tech Stack

• Pursuing a bachelor’s or master’s degree in Library Science, Information Science, Knowledge Management, Archival Studies, Linguistics, or a related field.
• Returning to school at the end of the internship to continue academic studies for at least one quarter or semester.
• U.S. Person due to required access to U.S. export-controlled information or facilities.
• Ability to complete a 16 to 24-week in-person co-op in winter 2027.
• Potential need for U.S. clearance eligibility depending on the program.

Preferred Qualifications

• Coursework or project experience in metadata, cataloging, taxonomy, controlled vocabularies, or classification systems.
• Attention to detail and patience for working through ambiguity toward consistent structure.
• Clear writing, particularly for documentation.
• Familiarity with metadata standards and modeling approaches (Dublin Core, SKOS, RDF, OWL, or similar).
• Exposure to data catalog tooling, knowledge graphs, or ontology editors such as Protégé.
• Basic scripting in Python or SQL.
• Interest in manufacturing and physical systems.
• Coursework in digital curation, data governance, or information architecture.

US Hourly Range

• $24 — $40 USD