The University of Washington's Paul G. Allen School of Computer Science & Engineering invites applications for a full-time Assistant Teaching Professor with a focus on teaching advanced undergraduate and graduate courses in artificial intelligence as well as program leadership in our AI-focused graduate programs. Assistant Teaching Professors are non-tenured faculty members who are hired on multi-year appointments with a 9-month service period (plus summer opportunities). The anticipated start date is September 1, 2026.
All University of Washington faculty engage in teaching, scholarship, and service. Teaching professors are educational professionals who combine instructional excellence with a variety of leadership, community building, outreach, pedagogy advances, and other forms of scholarship. Our school offers a highly collegial and collaborative culture, with a range of teaching and curriculum-development opportunities in lower-division and upper-division courses for majors and non-majors, as well as in graduate courses.
This position is focused on artificial intelligence in general and a leadership role in our new Graduate Certificate in Modern AI Methods in particular. While faculty-member roles evolve over time, we anticipate responsibilities to focus on:
● Teaching upper-division undergraduate and beginning-graduate courses in Artificial Intelligence, Machine Learning, and related topics, with an emphasis on curriculum development, students’ success, and mentoring teaching assistants
● Providing faculty leadership for our new Graduate Certificate, including curriculum; working with other instructors; managing student recruitment, admissions, and retention; maintaining educational infrastructure and tooling; and more.
● Providing faculty leadership on ways to grow AI education and complement offerings from campus partners in ways that promote a diverse and inclusive community.
The base salary range for the position will be $11,300 – $14,500 per month for a 9-month service period, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Other compensation associated with this position may include a one-time relocation incentive.
The successful candidate will be expected to teach advances undergraduate and/or introductory graduate courses in Artificial Intelligence, create and manage new educational programs, and work with faculty members to develop new curriculum and programs.
Candidates will be evaluated on teaching, curriculum development, service, mentoring, broadening participation in the field, and overall academic leadership.
Rubric Link
Our evaluation rubric is publicly available so that candidates and their letter writers have a better sense of what they can include and highlight in their application materials. We welcome applicants from non-traditional backgrounds and with non-traditional experiences. Positive factors for consideration include, but are not limited to, candidates who meet the threshold for a Good rating in at least two rubric items.
Freqently Asked Questions
Seattle's tech-driven ecosystem fuels a strong demand for assistant teaching professors in AI, especially at institutions like Uw Tacoma Keybank Professional Development Center. Candidates often face a competitive pool, given the city's appeal to top educators and AI experts, making specialized skills and leadership experience key differentiators.
Considering Seattle's traffic patterns, commuting to Uw Tacoma Keybank Professional Development Center may vary in duration depending on peak hours. Prospective assistant teaching professors might benefit from exploring public transit options or flexible schedules to balance work demands and Seattle’s urban transit challenges.
Beyond classroom instruction, assistant teaching professors in AI often lead curriculum design, mentor graduate students and teaching assistants, and manage educational programs like graduate certificates. Their role blends teaching with academic leadership, fostering innovation and inclusion within AI education.
Teaching professors usually hold multi-year, non-tenured appointments focused on instructional excellence and program leadership rather than extensive research. This path emphasizes curriculum development, student mentorship, and community engagement, aligning with applied academic contributions over research-heavy expectations.
Assistant teaching professors often progress towards senior teaching roles, program directorships, or leadership in educational innovation. Experience in AI curriculum leadership at Uw Tacoma can open doors to broader academic administration or specialized educational consultancy within tech-focused institutions.
Uw Tacoma Keybank Professional Development Center entrusts assistant teaching professors with key roles in curriculum management, student recruitment, and fostering inclusive AI learning environments. Faculty collaborate closely to evolve course offerings and maintain cutting-edge educational infrastructure.
Candidates demonstrating a blend of advanced AI knowledge, curriculum development expertise, and a commitment to diversity and mentorship stand out. Uw Tacoma values non-traditional backgrounds that showcase innovative teaching methods and leadership in graduate program management.
The base monthly salary lies between $11,300 and $14,500 for a 9-month appointment, aligning with U.S. Department of Labor wage guidelines. Additional compensation like relocation incentives may apply, reflecting competitive pay for AI-focused academic roles in the Seattle area.
Prospective teaching professors usually hold advanced degrees in computer science or AI-related fields, combined with demonstrated teaching proficiency and leadership in curriculum development. Seattle’s universities appreciate candidates who contribute to inclusive education and have experience mentoring diverse student populations.
These faculty members often spearhead initiatives to broaden AI education access, collaborate with campus partners, and promote diversity. Their outreach efforts include organizing workshops, participating in educational forums, and developing programs that connect academic AI learning with broader community needs.
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