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Metadata Library Jobs in Norman, OK (NOW HIRING)

The University of Oklahoma

Project Coordinator

Norman, OK · On-site

$24.54/hr

The ideal candidate will have a masters degree in library or archives science and have experience implementing large archival projects. Duties: * Provides metadata creation and management support for ...

Long Wave Inc.

Graphic Artist

Oklahoma City, OK · On-site

$117K - $140K/yr

... metadata, sizing, resolution, line weights, callouts, symbols, and other applicable publication ... Maintain graphic libraries, source files, reusable graphical assets, and associated technical ...

Long Wave, Inc.

Graphic Artist

Oklahoma City, OK · On-site

$117K - $140K/yr

... metadata, sizing, resolution, line weights, callouts, symbols, and other applicable publication ... Maintain graphic libraries, source files, reusable graphical assets, and associated technical ...

All JobsMetadata Library JobsMetadata Library Jobs in Norman, OK

Metadata Library information

See Norman, OK salary details

$7

$16

$23

How much do metadata library jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for metadata library in Norman, OK is $16.32, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $18.46 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 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 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 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 popular job titles related to Metadata Library jobs in Norman, OK?

For Metadata Library jobs in Norman, OK, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Norman, OK look for?

The top searched job categories for Metadata Library jobs in Norman, OK are:

What cities near Norman, OK are hiring for Metadata Library jobs?

Cities near Norman, OK with the most Metadata Library job openings:

Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Norman, OK as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $33,946 per year, or $16.3 per hour.

Research Data and AI Specialist

The University of Oklahoma

Norman, OK • On-site

$72K/yr

Full-time

Posted 14 days ago

Key responsibilities

  • Provide consultations and instruction on research data management, computational workflows, and responsible AI use.

  • Advise on data management plans, metadata standards, research data sharing, and developing services for long-term stewardship of research outputs.

  • Collaborate with campus partners to advance open science initiatives and evaluate emerging technologies to support research.

University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

170th of 630 rated colleges and universities

Job description

Research Data and AI Specialist
Job no: 493900
Work type: Professional
Location: Norman
Categories: Technology/Research
Pay Range: Targeted salary up to $72,000, depending on education and experience.
Benefits Eligible: Yes
Work Schedule: Monday - Friday, 8:00 a.m. to 5:00 p.m.
Travel: Not required
For Best Consideration Date: October 1, 2026
Position Introduction:
The University of Oklahoma Libraries seeks to recruit a Research Data and AI Specialist to advance research data services that support computational, reproducible, and AI-enabled research across the University Libraries system. As research increasingly relies on large, complex datasets and emerging computational methods, this position helps researchers manage, analyze, preserve, and responsibly use research data within computational and reproducible workflows. The Research Data and AI Specialist provides consultations, instruction, and embedded research support on research data management, computational and reproducible workflows, and the ethical application of artificial intelligence to research processes. Working collaboratively with Libraries and campus partners, the position scales services, cultivates data and AI literacy, and expands institutional capacity for responsible, transparent, reproducible, and sustainable research. Responsibilities include providing consultations and instruction; advising on data management plans, metadata standards, computational and reproducible research practices, and research data sharing; developing services that enable long-term stewardship and access to research outputs; supporting responsible AI-enabled research workflows; collaborating with campus partners to advance open science initiatives; and evaluating emerging technologies that strengthen research support across the university.
The successful candidate will be required to have the following skills and competencies:
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Demonstrated experience consulting with researchers or clients on technical topics.
  • Experience supporting computational, data-intensive, or research computing workflows.
  • Experience applying research data management principles, including documentation, metadata, data organization, preservation, or data sharing.
  • Experience using, evaluating, or supporting AI-enabled tools, computational methods, or machine learning applications in research, education, or professional settings.
  • Proficiency in scripting languages (Python and/or R) for data manipulation and analysis.
  • Proficiency in Git/GitHub, research data repositories, and metadata management and documentation practices.
  • Ability to listen to research needs and recommend appropriate solutions and develop scalable services and programs.
  • Ability to design and deliver effective learning experiences for researchers with diverse technical backgrounds.
  • Comfortable working across disciplines with varying data types and methodologies.
  • Understanding research ethics, data privacy, and responsible AI use.
  • Works effectively in team environments and builds cross-functional partnerships.
  • Stays current with rapidly evolving AI and data technologies.
  • Analytical thinking with the ability to troubleshoot complex technical challenges.
  • Demonstrates intellectual curiosity and the ability to learn emerging technologies while translating them into practical research applications.

View full job description
Required Education and Experience:
  • Bachelor's degree.
  • 36 months of experience in computer programming and analysis.

Equivalency/Substitution: Will accept 48 months of related experience in lieu of the Bachelor's degree for a total of 84 months of related experience.
Department Preferences:
  • Master's degree in a relevant field.
  • Experience supporting computational and reproducible research workflows, high-performance computing, or cloud-based research environments.
  • Experience supporting researchers in the health sciences or other data-intensive research disciplines.
  • Knowledge of open science, reproducibility, and scholarly communication practices.
  • Familiarity with AI ethics frameworks and responsible AI practices.
  • Familiarity with institutional, governmental, or funding agency guidance related to AI use in research.
  • Knowledge of discipline-specific data standards and repositories.
  • Experience developing and delivering training or workshops.
  • Background in academic or research institution settings.
  • Understanding grant funding requirements (e.g., NSF, NIH data management plans).
  • Proficiency in Python and/or R, Linux/Command Line, Cloud research platforms, data wrangling and transformation, data visualization.

Hiring Contingent Upon a Background Check: Yes
Advertised: 24 Aug 2026 Central Daylight Time
Applications close: 22 Nov 2026 Central Standard Time
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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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