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Metadata Library Jobs in Albuquerque, NM (NOW HIRING)

Metadata Library information

See Albuquerque, NM salary details

$8

$18

$26

How much do metadata library jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for metadata library in Albuquerque, NM is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.48 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.
What are popular job titles related to Metadata Library jobs in Albuquerque, NM? For Metadata Library jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Metadata Library jobs in Albuquerque, NM look for? The top searched job categories for Metadata Library jobs in Albuquerque, NM are:
Infographic showing various Metadata Library job openings in Albuquerque, NM as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $37,667 per year, or $18.1 per hour.

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM

Other

Re-posted 29 days ago


University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

95th of 614 rated colleges and universities


Job description

This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.

The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.

The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.

Duties include:

  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

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