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Computer Science Professor Jobs in Arizona (NOW HIRING)

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ

Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors ... computer science, neuroscience, electrical engineering, or a closely related field, in addition to ...

Mayo Clinic

Research Fellow-Psychiatry

Phoenix, AZ

Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors ... computer science, neuroscience, electrical engineering, or a closely related field, in addition to ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

$67K - $78K/yr

Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors ... computer science, neuroscience, electrical engineering, or a closely related field, in addition to ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors ... computer science, neuroscience, electrical engineering, or a closely related field, in addition to ...

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Computer Science Professor information

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$10.3K

$118K

$159.4K

How much do computer science professor jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer science professor in Arizona is $117,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $142,600.00 per year, depending on experience, location, and employer.

What Does a Computer Science Professor Do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

What are some common challenges faced by Computer Science Professors in balancing teaching, research, and administrative responsibilities?

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What does a Computer Science Professor do?

A Computer Science Professor teaches courses in computer science at the college or university level, covering topics such as programming, algorithms, data structures, artificial intelligence, and more. In addition to teaching, they often conduct research in specialized areas, publish academic papers, and supervise student projects or theses. Computer Science Professors also advise students, develop curriculum, and may participate in departmental administration or service. Their work is crucial in advancing the field of computer science and preparing the next generation of technology professionals.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

What are the key skills and qualifications needed to thrive as a Computer Science Professor, and why are they important?

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.
More about Computer Science Professor jobs
What are the most commonly searched types of Computer Science Professor jobs in Arizona? The most popular types of Computer Science Professor jobs in Arizona are:
What are popular job titles related to Computer Science Professor jobs in Arizona? For Computer Science Professor jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Science Professor jobs in Arizona look for? The top searched job categories for Computer Science Professor jobs in Arizona are:
What cities in Arizona are hiring for Computer Science Professor jobs? Cities in Arizona with the most Computer Science Professor job openings:
What are popular job titles related to Computer Science Professor jobs in AZ? For Computer Science Professor jobs in AZ, the most frequently searched job titles are:
Computer Science Professor jobs near you
Infographic showing various Computer Science Professor job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $117,988 per year, or $56.7 per hour.
Hybrid Visiting Professor of Artificial Intelligence

Hybrid Visiting Professor of Artificial Intelligence

DeVry University

Phoenix, AZ • On-site

Part-time

Retirement

Re-posted 11 days ago

DeVry University rating

8.2

Company rating: 8.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

114th of 546 rated colleges and universities

Job description

DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.
Opportunity:
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.
  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:
  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and update all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
    • Applicants must upload unofficial graduate-level and above transcripts with their application.
  • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
  • Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
  • Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.
  • Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
  • Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
  • Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications
  • Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
  • AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).
  • Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
  • Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
  • Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation.
  • Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.
  • Pay may vary in most states from $1500-$2700 per 8-week session.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis.
DeVry University offers benefit options for Visiting Professors, including:
  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits.
We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community.
We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

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