Job Title: Academic Program Professional 1
Working Title: AI and Education Specialist
VPUE Unit: CTL
Location: Stanford Main Campus; Hybrid (3 or more days/week on site)
Job Code: 4111
Grade: H
Exemption: Exempt, Full-time, Fixed Term (2 years)
Heralded as a hub of undergraduate innovation, the Office of the Vice Provost for Undergraduate Education (VPUE) creates and sustains meaningful interactions between students and faculty both within and outside the classroom. As a collaborative team member of VPUE, you have a unique opportunity to advance and support programs that touch and enhance the lives of every undergraduate student at Stanford. As a team member in a unit that is also affiliated with the Office of the Vice Provost for Graduate Education (VPGE), your positive impact on graduate students and their teaching and learning will also be substantial.
The Stanford Center for Teaching and Learning (CTL) supports the university’s core educational mission. We help faculty, lecturers, and Teaching Assistants design, teach, and improve courses and curricula. We partner with schools, departments, and programs to ensure ongoing, meaningful teaching and learning. We help students thrive in their studies through academic coaching, peer tutoring, language conversation practice, and specialized support for neurodiversity. The latest evidence about what works in higher education is woven through our programs and services.
We have two full-time, fixed-term positions open, AI and Education Specialists, both for academic support focusing on generative artificial intelligence (AI). Both positions will work under the direction of CTL staff to implement and administer the vision, strategy, and goals of the AI-related teaching programs, utilizing specialized knowledge of evidence-based practices in higher education teaching and learning and generative AI. Both positions are at the same level and pay range.
One position will focus on AI-related pedagogical support for Stanford instructors, augmenting the capacity and reach of the AI Meets Education at Stanford (AIMES) initiative through resources, workshops, consultations, and professional development experiences for professors, lecturers, and teaching assistants.
The second position will focus on a new AI and education seed grant program, which invites Stanford instructors to propose projects to revise courses and curricula for more effective learning in light of the existence of AI tools. Both positions provide coordination and operational support, create and implement workflow processes, communicate with stakeholders, implement event logistics, apply up-to-date evidence on AI and higher education, and draft and maintain program resources aligned with evidence.
In this role, you will:
Oversee and administer CTL programs related to teaching and generative AI, provide input to help shape programs, and coordinate and implement programs, logistics, and resources.
Collect and analyze data, create reports, review and explain trends to determine program effectiveness, e.g., through program feedback surveys and participation data; based on results, formulate and evaluate potential actions to achieve the goals of CTL’s AI and teaching programs and resources.
Teach and/or assist in the teaching and administration of educational and professional development experiences for Stanford instructors on AI and teaching. Create and/or advise in the development of curricula. Make recommendations for improvements.
Facilitate workshops, discussions, and consultations on teaching strategies related to generative AI with Stanford instructors and teaching teams, including faculty, lecturers, and students.
Write and edit content for program activities under the general direction of CTL staff.
Stay up-to-date on research-based educational practice in this evolving field so as to render sound advice for instructors navigating the challenges and opportunities of AI.
Represent the program or function as the key contact and subject matter expert within the unit and in other settings at Stanford, and develop communications for internal and external constituencies.
Organize and/or participate in outreach activities such as events, partnerships, training, and conferences.
In collaboration with financial staff, monitor expenses, budgets, and overall finances of the program to ensure responsible stewardship of funds. Make recommendations on funding based on program spending.
May oversee and train student workers.
Frequently stand/walk, sitting, grasp lightly/fine manipulation, perform desk-based computer tasks. Occasionally use a telephone, writing by hand, lift/carry/push/pull objects that weigh up to 40 pounds. Rarely sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds. Ability to use voice to present information/communicate with others. On-campus mobility.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
To be successful in this role, you will bring:
Education and Experience:
Bachelor’s degree and two years of relevant experience or a combination of education, training, and relevant experience.
Experience teaching or facilitating in educational, professional development, or training settings.
Experience navigating the challenges and opportunities of generative AI technology in educational settings.
Program administration experience.
Knowledge, Skills, and Abilities:
Knowledge of evidence-based and effective teaching practices relevant to higher education (undergraduate and graduate) levels.
Demonstrated oral, written, and analytical skills, exhibiting fluency in communication about AI and education.
Ability to communicate proactively about work progress, questions, timelines, and feedback.
Strong organizational skills and ability to manage multiple tasks, especially projects with multiple components and due dates.
Ability to collaborate constructively, inclusively, and equitably with campus stakeholders, including undergraduates, graduate students, postdocs, lecturers, faculty, and staff.
Ability to work independently and in teams, and to take initiative.
Ability to oversee and provide basic direction to staff.
In addition, preferred requirements include:
Advanced degree (e.g., Master’s degree, doctoral degree, professional degree).
Experience in a higher education environment working with faculty, staff, and students.
Experience teaching and/or facilitating workshops or training programs in higher education.
Project management experience, e.g., with an annual or multi-year project with multiple stakeholders, team members, components, and dependencies.
*Please note that completed applications will be reviewed beginning May 1, 2026 and on a rolling basis thereafter. The expected start date for this position is July 2026; it is a fixed term position, lasting two years. Should you have any questions regarding the submission of your application, or the requested documentation, you may contact Guy Margard at gmargard@stanford.edu.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven individuals to impact the future of our legacy. Our culture and unique perks empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing opportunities. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
Discovery and fun. Stroll through historic sculptures, trails, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
*Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The expected pay range for this position is $90,694 to $108,963 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
How to Apply
You will be asked to submit a current C.V. or resume. Please also submit a cover letter of no more than 500 words describing a professional or personal experience that highlights one aspect in which you and your experiences demonstrate what successful candidates will bring to this role, along with any preferred qualifications you would bring. Note that your cover letter will be assessed for writing clarity and alignment with the role.
IMPORTANT–AI DISCLOSURE: If you use generative AI in the creation or revision of your application materials, please disclose what tools and how you used them at the end of your cover letter (one sentence). As these positions focus on generative AI, we value your human professionalism (one of the principles we aspire to uphold at Stanford), including your transparency and clarity about use or non-use of AI in your application.
Completed applications will be reviewed on a rolling basis beginning May 1, 2026.
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