Assistant Director, AI and Learning

Company: University of Chicago
Location: Chicago
Posted on: April 7, 2026

Job Description:

Department College Chicago Center for Teaching About the Department College Chicago Center for Teaching Job Summary Reporting to the Executive Director and collaborating with CCTL staff and relevant campus partners, the Assistant Director for AI and Learning will design, develop, and implement programming and resources to 1) support faculty and instructors in articulating and implementing effective, appropriate, and evidence-informed pedagogical approaches to AI in their courses, with attention to the potential learning opportunities and challenges presented by AI tools; 2) support the development of innovative teaching practices with AI tools; and 3) support students in the learning-focused and appropriate use of AI tools in their education. With support from the Executive Director, the Assistant Director will build on, enhance, and expand existing AI teaching and learning initiatives at the University, supporting the CCTL in promoting thoughtful, forward-looking approaches to the place of AI in a liberal arts education. The individual in this role will be able to make a significant impact on teaching and learning programs at the CCTL and on AI pedagogy at the University of Chicago. The ideal candidate will be well-versed in AI tools and their implications for teaching and learning in higher education, have experience and interest in designing pedagogical programs and resources, and successful college teaching experience. Responsibilities In collaboration with CCTL staff and relevant campus partners, designs, develops, and implements programming and resources on effective, innovative, and evidence-informed pedagogical approaches to AI and related technologies. Develops and implements programming and resources to support the design of AI-aware teaching methods and assessment strategies, including rethinking learning goals and assignment design. Develops and implements programming and resources to support effective and responsible integration of AI tools into courses, in-class activities, and assessments. Develops models and examples of innovative activities and assignments that make use of AI tools. Provides consultation support for faculty and instructors on teaching and learning issues related to AI. Supports divisions, schools, departments, and programs in creating a culture and norms for appropriate AI use based in local disciplinary and curricular values and goals. Develops and updates online resources that support faculty and instructors in making informed choices about the role of AI in their teaching. Stays current on advancements in AI technology and the release of AI tools as they relate to teaching and learning in higher education to inform CCTL, College, and University initiatives. Stays current on developments in national discussions and the scholarly literature relevant to the teaching and learning implications of AI tools to inform CCTL, College, and University initiatives. In collaboration with the Senior Assistant Director of Assessment and Scholarship, provides support for the assessment of AI-aware teaching and learning practices. In collaboration with the CCTL team and relevant partner offices, develops programming and support for students on learning in the context of AI and responsible use of AI tools. Develops and updates online resources that support students in making informed, responsible choices about effective, appropriate, and innovative use of AI tools in their learning. Consults with relevant College and University offices on best practices for supporting student awareness and responsible use of AI. Supports and contributes to efforts to assess student attitudes and use of AI in their learning to inform programmatic efforts. Presents program content. Serves as liaison with internal and external stakeholders. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: Preferred Qualifications Education: PhD or other terminal degree, either in-hand or expected by start date. Experience: Background in educational development, instructional design, or related field. Teaching experience in higher education. Developing programs, leading workshops, and providing individual consultations. Working with faculty and instructors at a research-intensive university. Comfort in an academic and research-intensive environment. Preferred Competencies Strong understanding of a range of AI tools, a critical appreciation of their pedagogical affordances and limitations, and their potential teaching and learning applications in higher education. Strong verbal and written communication skills. Strong organizational skills, able to prioritize and manage concurrent tasks with interruptions. Work with faculty and instructors from a variety of disciplines and backgrounds and with a range of perspectives on AI and its impact on learning. Demonstrated commitment to advancing innovative and inclusive teaching in higher education. Work effectively with supervision and as a part of a team, individually, or in concert with other offices and campus partners. Establish good working relationships with people of different backgrounds. Work autonomously, taking initiative and without detailed instructions. Excellent facilitation, consultation, and collaboration skills. Working Conditions Office environment. Fast-paced environment. Some evening and weekend work. Sit at a computer for 4-6 hours. Periodic walking to other campus locations. Option for working remotely two days a week. Application Documents Resume/CV (required) Cover Letter, to include interest in position (required) References Contact Information (3) (required) Teaching Statement (optional) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Student Affairs & Services Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary ? FLSA Status Exempt ? Pay Range $68,000.00 - $85,000.00 The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook . Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Keywords: University of Chicago, Elkhart , Assistant Director, AI and Learning, IT / Software / Systems , Chicago, Indiana