Visiting Professor, Artificial Intelligence

DeVry University

. Teach courses and programs in accordance with DeVry University requirements .

Posted 9/15/2026part-timeRemote • Arizona • United StatesMid-LevelSenior💰 $1,500 - $2,700 per weekWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Artificial Intelligence, Machine Learning, and Data Science, with a strong focus on integrating responsible AI technologies into educational practices. Possesses effective communication skills to convey complex technical concepts to diverse learners while ensuring ethical AI deployment and data governance.

Highest-signal resume keywords

Doctorate In Artificial IntelligenceApplied Professional Experience In AIAI-Enabled Software DevelopmentStrong Subject Matter Expertise In AIIndustry-Recognized Certifications In AI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Artificial IntelligenceMachine LearningData ScienceData ModelingFull-Stack Application DevelopmentAI Development FrameworksGenerative AI ToolsMachine Learning PipelinesDevSecOps PracticesCurriculum Development

Soft Skills

Effective Communication SkillsStudent EngagementFeedback ProvisionOrganizational SkillsAdaptability

Tools & Technologies

Online Course TechnologiesAI-Assisted Learning ToolsImmersive TechnologiesIntelligent Tutoring SystemsCourse-Related Software

Certifications & Qualifications

Industry Certifications In Python ProgrammingAI Practitioner CertificationsMachine Learning CertificationsData Science Certifications

Industry Keywords

Ethical AI PracticesData GovernanceBias MitigationResponsible AI DeploymentAccreditation Standards

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Teach courses and programs in accordance with DeVry University requirements
Facilitate student learning for undergraduate and graduate students
Develop course syllabi and lesson plans
Organize, prepare, revise, and update course materials
Use online technologies and course-related software, including websites, email, and online discussions
Model effective oral and written communication
Publish course objectives, assignment and examination dates, and evaluation weightings
Ensure exams align with course terminal objectives
Prepare and grade exams consistently and fairly
Provide timely feedback to students
Integrate responsible AI technologies into classroom teaching and learning
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
Complete other duties as assigned

Requirements

What you’ll need

Doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field
At least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline
Unofficial graduate-level transcripts must be uploaded with the application
Degree awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or equivalent international 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, including machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services
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
Effective communication skills and ability to explain complex technical topics to diverse learners
Knowledge of ethical, responsible, and secure AI practices, including data governance, bias mitigation, and responsible AI deployment
Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices
Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply
Preferred: Industry certifications in Python programming, artificial intelligence, machine learning, or data science
Preferred: AI practitioner or engineer certifications
Preferred: Experience with AI development frameworks and tools
Preferred: Experience applying DevSecOps practices in AI or data-driven environments
Preferred: Experience with accreditation processes, outcomes assessment, and curriculum alignment
Preferred: Active membership or engagement in professional technology or AI-related organizations
Preferred: Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction
Preferred: Two to five years of post-secondary teaching experience

Benefits

Comp & perks

Comprehensive faculty training program
Ongoing faculty development activities
Flexible course scheduling of once or twice per week for eight weeks
Online and blended teaching environment