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Computer Science Faculty Jobs in Phoenix, AZ (NOW HIRING)

HonorHealth

CTMS Administrator

Phoenix, AZ · On-site

... with staff, faculty, physicians, patients, their families and others outside of HonorHealth ... Bachelor's Degree in Computer Science, Information Systems, or a related discipline - Preferred

HonorHealth

CTMS Administrator

Phoenix, AZ · On-site

... with staff, faculty, physicians, patients, their families and others outside of HonorHealth ... Bachelor's Degree in Computer Science, Information Systems, or a related discipline - Preferred

Honorhealth

CTMS Administrator

Phoenix, AZ

... with staff, faculty, physicians, patients, their families and others outside of HonorHealth ... Bachelor's Degree in Computer Science, Information Systems, or a related discipline - Preferred

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All JobsComputer Science Faculty JobsComputer Science Faculty Jobs in Phoenix, AZ

Computer Science Faculty information

See Phoenix, AZ salary details

$56.1K

$82.5K

$97.3K

How much do computer science faculty jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science faculty in Phoenix, AZ is $82,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $92,800.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science Faculty vs Computer Science Lecturer?

AspectComputer Science FacultyComputer Science Lecturer
Required CredentialsTypically PhD in Computer Science or related fieldMaster's degree or equivalent in Computer Science or related field
Work EnvironmentUniversities, colleges, research institutionsUniversities, colleges, technical institutes
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & Comparison IntentAcademic roles, research, teaching responsibilitiesTeaching roles, academic positions, entry to mid-level faculty

Computer Science Faculty generally hold doctoral degrees and focus on both teaching and research at universities. In contrast, Computer Science Lecturers often have master's degrees and primarily focus on teaching undergraduate courses. Both roles are found in higher education but differ in qualifications, responsibilities, and career paths.

What is a computer science faculty?

Computer Science Faculty are educators and researchers who teach computer science courses at colleges or universities. They develop curriculum, deliver lectures, guide students in labs, and advise on academic matters. In addition to teaching, they often conduct research, publish scholarly articles, and contribute to advancements in the field. Their roles may also include participating in departmental service, mentoring students, and collaborating with industry partners. Computer Science Faculty play a critical role in shaping future technology professionals and researchers.

What are the key skills and qualifications needed to thrive as a computer science faculty, and why are they important?

To thrive as a Computer Science Faculty, you need advanced knowledge of computer science concepts, a relevant graduate degree (often a Ph.D.), and experience in teaching or research. Familiarity with programming languages, learning management systems (LMS), and research tools like version control systems or data analysis software is typically required. Strong communication, mentorship, and organizational skills help faculty engage and inspire students while collaborating with colleagues. These skills and qualities are crucial for delivering high-quality education, fostering student success, and advancing research initiatives in academic settings.

What are some of the common challenges computer science faculty face when balancing teaching, research, and service responsibilities?

Computer Science Faculty often juggle multiple responsibilities, including preparing and delivering lectures, conducting research, publishing papers, advising students, and participating in departmental or university service. Balancing these diverse tasks can be challenging, especially during peak times like grading periods or grant application deadlines. Effective time management, clear communication with colleagues, and leveraging institutional support are essential strategies to manage these competing demands. Many institutions also encourage collaboration among faculty to share resources and lighten individual workloads.
What are popular job titles related to Computer Science Faculty jobs in Phoenix, AZ? For Computer Science Faculty jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Science Faculty jobs in Phoenix, AZ look for? The top searched job categories for Computer Science Faculty jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Computer Science Faculty jobs? Cities near Phoenix, AZ with the most Computer Science Faculty job openings:
Computer Science Faculty jobs near you
Infographic showing various Computer Science Faculty job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $82,519 per year, or $39.7 per hour.

Hybrid Visiting Professor of Artificial Intelligence

DeVry University

Phoenix, AZ • On-site

Part-time

Retirement

Re-posted 9 days ago

DeVry University rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

80th of 615 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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