AI and Machine Learning Librarian (Associate)

Texas A&M University System • College Station, TX

21h

About The Position

Texas A&M University is hiring a new Artificial Intelligence and Machine Learning Librarian to lead the integration of cutting-edge AI and ML technologies into library workflows. In this innovative role, you’ll focus on enhancing digital collections, enriching metadata, and developing automated captioning pipelines to improve efficiency and scalability across the Libraries. This role involves hands-on development and evaluation of AI-enabled workflows, with an emphasis on sustainable, production-ready solutions. Reporting to the Director of Digital Collections, you’ll design and sustain AI-driven solutions while collaborating with Texas A&M High Performance Research Computing to leverage advanced infrastructure for emerging initiatives. Working closely with colleagues across the Libraries and campus, you’ll evaluate new technologies, champion responsible and sustainable applications, and align innovation with our mission to enable access, discovery, and long-term stewardship of scholarly resources. Salary: $72,335.00 annually and a $3,000.00 stipend for professional development

Requirements

• Master’s degree in Library Science or a related field such as Computer Science, Computer Engineering, Data Science, or Digital Humanities, or an equivalent combination of education and experience.
• Five years of related experience.
• Knowledge of academic library functions.
• Ability to work in an environment with shifting priorities.
• Ability to take initiative and exercise independent judgment.
• Conflict resolution skills.
• Strong written, oral, and public communication skills, including representing the Libraries in professional settings.

Nice To Haves

• Experience working with digital libraries, repositories, data pipelines, artificial intelligence, machine learning tools, or related technologies.
• Experience working with digital collections, research data, or cultural heritage materials in libraries, archives, museums, or academic settings.
• Familiarity with artificial intelligence and machine learning concepts such as large language models, natural language processing, and Retrieval-Augmented Generation (RAG).
• Experience with AI/ML frameworks and tools.
• Proficiency in at least one programming or scripting language.
• Knowledge of metadata standards and digital library platforms.
• Strong ability to learn and apply emerging technologies, collaborate effectively across teams, and communicate technical concepts clearly to audiences is essential, along with a commitment to ethical and sustainable AI solutions for cultural heritage and academic contexts.

Responsibilities

• Lead, prototype, and sustain AI/ML workflows for metadata, captioning, and large-scale text and media processing.
• Use advanced AI techniques to enhance search and access to collections.
• Collaborate with High Performance Computing for scalable, efficient AI solutions.
• Evaluate, document, and guide responsible AI practices, including transparency, bias mitigation, and sustainability.
• Collaborate with campus and external partners to identify AI opportunities.
• Explore emerging AI tools and techniques in areas like NLP and computer vision.
• Prototype and test new solutions to assess impact and feasibility.
• Help shape policies and strategies for responsible AI use in libraries.
• Create clear documentation for AI tools and workflows.
• Train and support staff and students on AI systems.
• Develop materials and reports to share project results and impact.
• Engage in professional development through research and presentations.
• Represent the Libraries in AI and digital library initiatives at all levels.
• Stay current on AI, ML, and digital library trends to guide local practices.

Benefits

• Health, dental, vision, life and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Health and Wellness: Free exercise programs and release time
• Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
• Educational release time and tuition assistance for completing a degree while a Texas A&M employee

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level