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Remote Library Cataloging Jobs in Texas (NOW HIRING)

Remote Library Cataloging information

See Texas salary details

$28.9K

$60.7K

$95.5K

How much do remote library cataloging jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote library cataloging in Texas is $60,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $69,900.00 per year, depending on experience, location, and employer.

What is remote library cataloging?

A Remote Library Cataloging job involves organizing and classifying library materials such as books, digital resources, and other media from a remote location. Catalogers use metadata standards like MARC, RDA, and Dublin Core to ensure accurate and accessible records in a library's database. This role typically requires knowledge of library classification systems, strong attention to detail, and experience with integrated library systems (ILS). Remote catalogers may work for academic, public, or special libraries, as well as library vendors or freelance projects.

What are the typical daily responsibilities for remote library cataloging?

In a remote library cataloging role, your daily tasks often include reviewing and entering bibliographic data, assigning classification numbers and subject headings, and ensuring consistency with cataloging standards. You may also be responsible for updating records in integrated library systems, resolving data discrepancies, and collaborating virtually with library staff to improve catalog accuracy. Staying organized and maintaining high attention to detail are crucial as you balance workload independently. Additionally, you might participate in online training or team meetings to stay updated on best practices and evolving cataloging guidelines.

What are the key skills and qualifications needed for remote library cataloging?

Excelling in Remote Library Cataloging requires strong attention to detail, proficiency in library science principles, and typically a degree in library or information science. Familiarity with cataloging standards like MARC, RDA, and Library of Congress Classification, as well as experience using integrated library systems (ILS), are commonly expected. Excellent communication, self-motivation, and organizational skills help remote catalogers work independently while meeting quality and deadline expectations. These capabilities ensure accurate resource organization and seamless digital access for library users, even in a remote environment.

What are the most commonly searched types of Library Cataloging jobs in Texas?

The most popular types of Library Cataloging jobs in Texas are:

What are popular job titles related to Remote Library Cataloging jobs in Texas?

For Remote Library Cataloging jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Library Cataloging jobs in Texas look for?

The top searched job categories for Remote Library Cataloging jobs in Texas are:

What cities in Texas are hiring for Remote Library Cataloging jobs?

Cities in Texas with the most Remote Library Cataloging job openings:

Infographic showing various Remote Library Cataloging job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $60,737 per year, or $29.2 per hour.

Business Analyst (US Citizens)

PROLIM Global Corporation

Austin, TX • On-site, Remote

Full-time

Re-posted 23 days ago


Job description

Prolim is hiring for a Business Analyst (US Citizens) for a Leading client.
Contract: Long term
Remote- Program will allow candidates who are within the state (Any location within the State of Texas)
I. DESCRIPTION OF SERVICES
The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
• Strategic Liaison and Translation
o Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
o Automate regular collection and updates to agency metadata for high value data assets.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
o Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
o Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
• Data Literacy and Training
o Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
o Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
o Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
• Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies.
o Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
o Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
• AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
o Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
o Develop a library of standardized prompts and query templates for common reporting needs.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics
8
Required
Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8
Required
Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8
Required
Strong experience with SQL for data extraction, manipulation and enrichment.
8
Required
Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis.
8
Required
Excellent communication, presentation, and interpersonal skills.
5
Preferred
Experience with Business Intelligence/Data Warehouse
5
Preferred
Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects
5
Preferred
Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.
5
Preferred
Experience with data governance and data quality principles
5
Preferred
Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance.
2
Preferred
Experience championing data literacy across the organization
2
Preferred
Experience training and mentoring staff with varying levels of data literacy.
1
Preferred
Experience with AI prompt development