AI and Machine Learning Librarian; Associate

Overview

AI and Machine Learning Librarian (Associate) — Texas A&M University. Salary: $72,335.00 annually and a $3,000.00 stipend for professional development.

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. The role focuses on enhancing digital collections, enriching metadata, and developing automated captioning pipelines to improve efficiency and scalability across the Libraries. It 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 will design and sustain AI-driven solutions while collaborating with Texas A&M High Performance Computing to leverage advanced infrastructure for emerging initiatives. You will evaluate new technologies, champion responsible and sustainable applications, and align innovation with the mission to enable access, discovery, and long-term stewardship of scholarly resources.

• 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.

• 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.
• A well-qualified candidate may also possess: Experience with digital libraries, repositories, data pipelines, AI/ML tools, or related technologies; experience with digital collections, research data, or cultural heritage materials; familiarity with AI/ML concepts such as large language models, NLP, 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 across teams, and communicate technical concepts clearly; commitment to ethical and sustainable AI solutions for cultural heritage and academic contexts.

Apply by submitting a resume/CV and cover letter. If you have a digital portfolio (e.g., Git Hub, Hugging Face) showcasing past projects or AI tools you have created, you may attach those materials as well. Documents can be uploaded under CV/Resume during application.

Applications must include all job application data or a complete resume. We encourage uploading a resume or using a Linked In profile to prepopulate the online application.

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents and lived experiences. Core values include Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service. The Libraries are the hub of discovery, learning and creativity, supporting the missions of teaching, research, and service. Learn more about our libraries at the link below.

Learn more about our libraries: (Use the "Apply for this Job" box below)..edu