LAC Federal is seeking a highly skilled Metadata Specialist to join a team dedicated to enhancing the discoverability and accessibility of one of the largest biomedical and health sciences collections in the world. This role is integral to a multi-phase project aimed at addressing significant processing arrearages through both traditional cataloging and cutting-edge AI/ML technologies.

Key Responsibilities:

Metadata Creation and Management:

Develop and enhance metadata for a diverse range of library and archival materials, including monographs, serials, rare books, manuscripts, audiovisual materials, and digital collections. Apply appropriate metadata standards (e.g., MARC, Dublin Core, EAD, MODS) and classification schemes (e.g., LCC, MeSH) to ensure accurate and comprehensive description of collection materials. Collaborate with catalogers, archivists, and other technical staff to create and refine bibliographic records, ensuring consistency and alignment with institutional guidelines.

AI/ML Integration:

Collaborate with the AI/ML team to develop and test tools designed to automate and expedite metadata creation. Assist in training AI/ML models by providing expertise in metadata standards and cataloging practices. Evaluate the effectiveness of AI-generated metadata and contribute to the refinement of these tools to improve accuracy and efficiency.

Quality Assurance and Control:

Conduct quality assurance reviews of metadata records, ensuring accuracy, completeness, and adherence to institutional and industry standards. Identify and rectify metadata discrepancies and inconsistencies in the existing catalog and archival descriptions. Provide expertise in the enhancement of existing metadata to improve searchability and accessibility of the collection.

Project Coordination and Collaboration:

Work closely with the Project Coordinator and other team members to develop and implement work plans for the cataloging and description of unprocessed materials. Participate in project meetings, providing updates on progress and challenges related to metadata creation and management. Engage with stakeholders to understand project goals, requirements, and desired outcomes, ensuring that metadata practices align with the broader objectives of the project.

Documentation and Reporting:

Maintain detailed records of metadata creation activities, including processes, standards applied, and issues encountered. Prepare reports on metadata creation progress, challenges, and the effectiveness of AI/ML tools for internal and external stakeholders.