Hourly Student Employment - Content Management Automation Student Technician (open to work-study and non-work-study)

Number of Positions: 1

Position Title: Content Management Automation Student Technician

Department: Content Management

Supervisor: Kayode Ishola

Position is subject to renewal each semester.

The University of Texas Libraries advances teaching, catalyzes research, and democratizes learning in order to develop critical thinkers and global citizens. As an essential campus partner in building a rich research and learning ecosystem, we are committed to creating and sustaining a community that welcomes and respects all individuals, celebrates different perspectives and experiences, and fosters belonging. To learn more about UT Libraries, please visit our website: https://www.lib.utexas.edu/

 

Summary: This is a hands-on, experimental role for a forward-thinking student interested in automation, AI, and modern content management workflows. The Student Assistant will help design, test, and support automated workflows across acquisitions, cataloging, serials, and physical processing, combining technical scripting with real-world library operations.  If you enjoy vibe coding, experimenting with automation, and turning manual processes into scalable systems, this role is for you.

 

Work Schedule: As arranged with supervisor, between hours of 8am-5pm Monday-Friday.

 

Duties: 

  • Scan books, CDs, LPs, and other information materials using OCR-enabled scanners
  • Support physical processing tasks (handling, labeling, barcoding, call number application) as part of automated workflows
  • Assist with AI-assisted metadata creation, validation, and cleanup
  • Write and maintain simple scripts to automate content management workflows
  • Support API integrations and batch data processing across library systems
  • Use GitHub to collaborate on scripts, track changes, and document workflows
  • Perform quality checks to ensure accuracy of scans, metadata, and system updates
  • Help document and improve workflows across acquisitions, cataloging, serials, and physical processing

     

Required Qualifications: 

  • UT Austin student enrolled in minimum of 6 credits for spring 2026 semester in Information Science/Studies, Computer Science, Data Science, Engineering, or a related field
  • Comfortable writing basic scripts (e.g., Python, JavaScript, or similar)
  • Familiarity with GitHub (cloning repos, committing changes, basic collaboration)
  • Comfort experimenting, iterating, and learning through hands-on problem solving
  • Ability to handle physical library materials carefully and consistently

     

Preferred Qualifications:

  • Experience with OCR tools or high-volume scanning workflows
  • Familiarity with APIs, data formats (CSV, JSON, XML), or interest in system integration
  • Interest in AI, automation, digital libraries, or content management systems
  • Exposure to library workflows (acquisitions, cataloging, serials, or processing)
  • Familiarity with Cloud services/Platforms (AWS, Azure, GCP)
  • Have sound Information Security mindset

    We want to emphasize that although experience in certain areas is desirable, candidates who meet the required qualifications and demonstrate excellent promise are encouraged to apply and will be given serious consideration. 

     

Working Conditions: Regular indoor working conditions.

 

Rate of Pay: $15.00

 

Applicant Instructions: Applicants should apply with a letter of interest, resume, and contact information to:

Kayode Ishola

Automation and Integration Librarian

kayode.ishola@austin.utexas.edu

 

A criminal history background check will be required for finalist(s) under consideration for this position.

 

Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.