Summer 2027 Graduate Internship - Research Library

About the Division and Section/Team

The Federal Reserve Board Research Library is offering two paid summer internships for graduate-level library or information science students to advance several projects that will improve library services for Board researchers. We offer a full array of customized library services to staff members throughout the Board, with particular focus on data-intensive research, data acquisitions and cataloging, research curation, metadata and taxonomy, automation development, and AI support.

About the Role

To enhance discoverability and use of the Board's data and research resources, projects will focus on data- and metadata-related initiatives that build on our recent system migrations, including the Federal Reserve Data Inventory and the Library Catalog Search. Interns will also collaborate with librarians and developers on strategies for using generative AI tools to streamline content integration across systems.

Learning outcomes include practical experience in metadata cataloging, library system maintenance (including reporting and acquisitions data), process documentation, and research support—skills that transfer directly to positions in academic, research, and corporate libraries and information centers.

Depending on the interns' skills and interests, they will work on at least two of the following projects:

• Metadata and Cataloging – Federal Reserve Data Inventory: To aid the roll-out and expansion of the Board's data inventory, interns will tackle metadata projects in line with national, international, and agency standards. This work may include: ongoing metadata curation, refinement and maintenance; and developing quality checks among systems. It supports the foundation and capability layers of the Board's enterprise-wide technology modernization work.
• Metadata and Cataloging – Library Services Platform (LSP): To aid the roll-out and expansion of our library catalog, interns will tackle metadata projects in line with national, international, and local standards. This work may include: ongoing metadata curation, refinement and maintenance; crafting draft records; and developing quality checks among systems.
• Technology, Software, and Process Improvements: To bolster workflow efficiencies, interns will conduct task analysis and workflow documentation to identify automation opportunities, document processes and code, and work with internal AI technology as appropriate.
• Taxonomies and Controlled Vocabularies: To enable discovery, interoperability, and process efficiencies in our catalogs and other discovery systems, interns will support the development and maintenance of taxonomy and authority control by working on the Federal Reserve Subject Taxonomy (FRST) and Federal Reserve Authority of Names (FRAN). Depending on need, projects may also address researcher identifiers (ORCID) and DOI metadata through Crossref.
• Instructional Materials Development, Marketing, and Outreach: To develop innovative tools for self-service and encourage use of valuable research tools, interns will build select resource guides, conduct annual review of library website content, assist with library events, as well as raise awareness of library services.

Requirements/Background

• Enrolled in a Master's degree program in library or information science at an ALA-accredited institution (MLS) and graduating August 2027 or later.
• Knowledge of library and information science technology trends.
• Basic understanding of metadata, cataloging, or information organization.
• Evidence of interest in the field of library and information science; have completed a minimum of 10 credits in foundational library and/or information science coursework by the start of the internship.
• Must have attention to detail, initiative, and good communication skills.
• Interest in using generative AI and other emerging technologies thoughtfully and effectively.
• Coding skills, such as Python or R, are a plus but not required.
• Students with prior course work in cataloging and metadata preferred but not required.

Required Documents for Application:

• Cover letter
• Resume
• Undergraduate & Graduate Unofficial Transcripts

Location: This position requires an onsite presence at our offices in Washington, D.C.

Note: U.S. Citizenship is required. Applicants must be current students, graduating from their program August 2027 or later. Proof of enrollment will be required.

Keywords: metadata, taxonomies, cataloging, generative AI