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How much do professor of artificial intelligence jobs pay per year?

As of Sep 15, 2026, the average yearly pay for professor of artificial intelligence in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What does a professor of artificial intelligence do?

A Professor of Artificial Intelligence (AI) is an academic expert who teaches courses related to AI, conducts research in areas such as machine learning, robotics, and data science, and mentors students at the undergraduate and graduate levels. They often publish scholarly papers, oversee research projects, and collaborate with industry partners. Additionally, they may participate in developing new AI technologies and contribute to the advancement of the field through conferences and public talks.

What are the key skills and qualifications needed to thrive as a professor of artificial intelligence, and why are they important?

To thrive as a Professor of Artificial Intelligence, you need an advanced degree (typically a Ph.D.) in computer science or a related field, with a strong foundation in AI theory, algorithms, and research methodology. Expertise in programming languages (such as Python), AI frameworks (like TensorFlow or PyTorch), and experience with scholarly publishing are essential, along with a track record of research grants or academic contributions. Outstanding communication, mentorship, and collaboration skills are vital for effective teaching, guiding students, and fostering research partnerships. These skills and qualifications ensure high-quality research output, successful instruction, and leadership in advancing the field of AI.

What are the typical collaborative opportunities for a professor of artificial intelligence within a university setting?

Professors of Artificial Intelligence often work closely with colleagues across multiple departments, such as computer science, engineering, cognitive science, and even business or healthcare faculties. Collaboration may involve joint research projects, co-advising graduate students, and participating in interdisciplinary grant proposals. Additionally, professors frequently engage with industry partners to align research with real-world applications and provide students with networking and internship opportunities. These partnerships enrich both teaching and research, fostering a dynamic academic environment.

What states have the most Professor Of Artificial Intelligence jobs?

States with the most job openings for Professor Of Artificial Intelligence jobs include:

What are popular job titles related to Professor Of Artificial Intelligence jobs?

For Professor Of Artificial Intelligence jobs, the most frequently searched job titles are:

Infographic showing various Professor Of Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 14% Full Time, and 85% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $114,792 per year, or $55.2 per hour.

Assistant Professor of Artificial Intelligence

San Angelo, TX • On-site

Angelo State University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

Other

Posted 5 days ago


Angelo State University rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Assistant Professor of Artificial Intelligence

Job Title Assistant Professor of Artificial Intelligence

Position Number

Position Number 977278, 977301

Department

Department Computer Science

Salary Commensurate with qualifications and experience

Remote

Remote No

Job Summary

The Department of Computer Science at Angelo State University invites applications for two full-time, nine-month, tenure-track Assistant Professor positions in Artificial Intelligence, beginning in August 2027. The successful candidates will support undergraduate and graduate programs in Artificial Intelligence and Computer Science through teaching, research, student mentoring, curriculum development, and service.

Applications are encouraged from candidates across the full breadth of artificial intelligence, including both software- and hardware-oriented areas. Relevant fields may include machine learning, generative AI, natural language processing, computer vision, robotics, autonomous systems, edge and embedded AI, computer architecture, AI accelerators, neuromorphic computing, and hardware-software co-design.

Each faculty member will normally teach three courses per semester, maintain an active research agenda, pursue external funding, mentor students, and contribute to interdisciplinary AI initiatives across the university. The academic appointment, tenure home, and formal evaluation pathway are within the Department of Computer Science.

  • Teach three undergraduate and/or graduate courses per semester in artificial intelligence, computer science, data science, computer engineering, or related areas, as assigned by the Department Chair.
  • Develop and continuously improve courses, laboratories, assignments, and other instructional materials that support Artificial Intelligence and Computer Science programs.
  • Maintain an active research and scholarly agenda in artificial intelligence or a related field, including software-, systems-, or hardware-oriented research.
  • Develop and submit proposals for external funding and participate in externally funded research, educational, or workforce-development initiatives.
  • Mentor undergraduate and graduate students in research, capstone projects, applied AI projects, professional development, and career preparation.
  • Collaborate with faculty across Computer Science, Engineering, and other disciplines on AI-related research, curriculum, student projects, and institutional initiatives.
  • Participate in departmental, college, and university service, including assessment, advising, recruitment, student success, committee work, outreach, and program development.
  • Develop appropriate partnerships with industry, government, educational institutions, and community organizations to advance AI education, research, and workforce development.
Knowledge, Skills and Abilities

Knowledge

  • Knowledge of artificial intelligence concepts, methods, systems, and applications, with depth in one or more software-, systems-, or hardware-oriented areas.
  • Knowledge of current and emerging developments in artificial intelligence, computer science, computer engineering, or related disciplines.
  • Knowledge of effective teaching practices, student-learning assessment, curriculum development, and instructional technology.
  • Knowledge of research methods, scholarly publication, grant development, and externally funded projects.
  • Knowledge of ethical, secure, responsible, and transparent uses of artificial intelligence, including privacy, bias, reliability, and societal impact.

Skills

  • Effective teaching and student-engagement skills at the undergraduate and graduate levels.
  • Research, scholarly writing, technical presentation, and grant-development skills.
  • Skills in developing and improving curricula, courses, laboratories, assignments, and applied projects.
  • Effective written, oral, interpersonal, and technical communication skills.
  • Student mentoring, academic advising, and career-development skills.
  • Collaboration and partnership-development skills across academic disciplines, industry, government, and community organizations.

Abilities

  • Ability to teach courses in artificial intelligence, computer science, computer engineering, data science, or related areas.
  • Ability to maintain an active research agenda and produce appropriate scholarly products.
  • Ability to mentor students in research, capstone experiences, applied projects, and professional development.
  • Ability to teach effectively in face-to-face, online, or hybrid formats as assigned.
  • Ability to collaborate across Computer Science, Engineering, and other disciplines.
  • Ability to adapt teaching and research activities in response to rapidly evolving technologies and workforce needs.
  • Ability to contribute effectively to departmental, college, university, professional, and community service.
Minimum Qualifications
  • An earned doctorate in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, Data Science, or a closely related field from an accredited institution or international equivalent. ABD candidates will be considered, provided the doctorate is completed no later than September 1, 2027.
  • Academic preparation and expertise appropriate for teaching undergraduate and graduate courses in Artificial Intelligence, Computer Science, Computer Engineering, or related areas.
  • Evidence of, or demonstrated potential for, effective university-level teaching and student mentoring.
  • Evidence of, or demonstrated potential for, an active research and scholarly agenda in artificial intelligence or a related software-, systems-, or hardware-oriented field.
  • Ability to contribute effectively to the instructional, research, and service missions of the Department of Computer Science and the university.
Physical Requirements

No physical requirements.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran.

In compliance with the Americans with Disabilities Act ( ADA ), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees. If an accommodation is requested for the job application process, please contact our office at (325) 942-2168 or email us at hr@angelo.edu.

Posting Number

Posting Number F385P

Open Date

Open Date 09/09/2026

Desired Start Date

Desired Start Date 08/02/2027

Review Start Date

Review Start Date 11/06/2026

Open Until Filled Yes

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed To Apply

Required Documents

  • Cover Letter
  • Curriculum Vitae
  • Teaching Philosophy
  • Transcripts (Unofficial)
  • List of References

Optional Documents

  • Other
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