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Assistant Professor (T/TE), Human-Centered AI and Data Literacy

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain an independent research program in human-centered AI and related areas

  • Pursue external research funding through grant proposals

  • Teach graduate and undergraduate courses in Educational Psychology and Information Science

  • Advise and mentor master's and doctoral students

  • Build partnerships with P–16 schools, districts, and community colleges

From the employer’s posting
Establish and maintain an active, independent research program in human-centered AI, machine learning, causal inference, and/or learning analytics applied to education, health, or information systems.
Pursue external research funding through grant proposals.
Teach graduate and undergraduate courses in Educational Psychology and Information Science, potentially online and in person.
Advise and mentor master’s and doctoral students, supporting their research and professional development.
Build partnerships with P–16 schools, districts, and community colleges.

What you’ll bring

All qualifications

Core experience

  • Ability to design and conduct research across disciplinary lines in education, information science, and social sciences
  • Ability to communicate AI and data concepts to educators, practitioners, and technical audiences
  • Ability to teach and mentor undergraduate and graduate students
Qualification wording
Ability to design, conduct, and contribute to research across disciplinary lines in education, information science, and the social sciences.
Ability to communicate AI and data concepts clearly to educators, practitioners, and technical audiences.
Ability to effectively teach and mentor students at the undergraduate and graduate levels.
Apply at Arizona

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
2
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 71.

At Arizona, jobs usually come down by about day 11.

From 4,607 similar postings that came down, and 10 of Arizona’s. Coming down is not always a hire.

Arizona is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

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Your next step

Complete your application on arizona.csod.com. The employer’s form will show what is required.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Department of Educational Psychology The department (education.arizona.edu/educational-psychology) conducts research and graduate training in learning and cognition, human development, motivation, measurement, and research methodology. It is small by design and built on mentorship and interdisciplinary collaboration, and it is expanding its work in artificial intelligence and data literacy, including fully online stackable certificates in Data Literacy in Education. College of Information Science InfoSci (infosci.arizona.edu) prepares students to lead at the intersection of people, data, and technology. With its twelve undergrad and graduate degree programs, and with a set of interdisciplinary scholars engaged in research across areas like data science, information science, library science, game development, cyberoperations, and more, the unit provides a supportive environment for faculty working across fields and disciplines. InfoSci is a noteworthy academic college with programs that are highly ranked and is a member of the global iSchools consortium. Why the University of Arizona and Tucson The University of Arizona is Arizona’s flagship, land-grant university and an R1 research institution. Its strategic plan calls for responsibly accelerating the integration of AI into the curriculum and for a framework for responsible AI use in teaching, learning, research, and community engagement. The Office of Responsible AI leads a campus AI Roadmap, and the Arizona Institute for AI Society brings together responsible AI, machine learning, and data science. The campus is a welcoming environment that supports interdisciplinary scholars and research aimed to meet today’s grand challenges. Located in the beautiful desert Southwest, Tucson is nestled between the Catalina and Tucson Mountains and Saguaro National Park. This bicycle-friendly city is known for its arts, music, food, and rich history. Tucson is a designated UNESCO City of Gastronomy and is consistently ranked as one of the country’s best places to live. Duties Responsibilities Establish and maintain an active, independent research program in human-centered AI, machine learning, causal inference, and/or learning analytics applied to education, health, or information systems. Pursue external research funding through grant proposals. Develop collaborations within and across disciplines, particularly through the cluster hire initiative, including work with colleagues in Education, Information Science, Public Health, Cognitive Science, and Humanities, among others. Disseminate research through peer-reviewed publications, conference presentations, and other scholarly activities. Teach graduate and undergraduate courses in Educational Psychology and Information Science, potentially online and in person. This is a joint appointment: 51% in the College of Education and 49% in the College of Information Science. Across both appointments, the expected teaching load is four courses per academic year, and the overall workload is roughly 40% teaching, 40% research, and 20% service. In the College of Education, the breakdown is 20% teaching, 20% research, and 11% service. In the College of Information Science, it is 20% teaching, 20% research, and 9% service. Advise and mentor master’s and doctoral students, supporting their research and professional development. Build partnerships with P–16 schools, districts, and community colleges. Participate in departmental, college, university, and interdisciplinary service. Additional duties as assigned. Knowledge, Skills, and Abilities Ability to design, conduct, and contribute to research across disciplinary lines in education, information science, and the social sciences. Ability to communicate AI and data concepts clearly to educators, practitioners, and technical audiences. Ability to effectively teach and mentor students at the undergraduate and graduate levels.
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Tucson, AZ, US

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