Visiting Artificial Intelligence

DeVry University

. Teach undergraduate and graduate courses in artificial intelligence and related fields .

Posted 9/20/2026part-timeNewark • California • United StatesMid-LevelSenior💰 $22 - $24 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in teaching artificial intelligence and related fields at the undergraduate and graduate levels, with a strong focus on integrating responsible AI technologies and effective communication strategies. Possesses a deep understanding of AI concepts, ethical practices, and instructional technology to enhance student learning outcomes.

Highest-signal resume keywords

Doctorate In Artificial IntelligenceApplied Professional Experience In AIAI-Enabled Software DevelopmentStrong Subject Matter Expertise In AIKnowledge Of Ethical AI Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

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

Soft Skills

Effective Communication SkillsAbility To Explain Complex Topics

Tools & Technologies

Online TechnologiesCourse-Related SoftwareAI-Assisted Learning ToolsImmersive TechnologiesIntelligent Tutoring Systems

Certifications & Qualifications

Industry-Recognized Certifications In AIPython Programming CertificationAI Practitioner CertificationMachine Learning CertificationData Science Certification

Industry Keywords

Responsible AI PracticesData GovernanceBias MitigationAccreditation StandardsProfessional Development

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Teach undergraduate and graduate courses in artificial intelligence and related fields
Facilitate student learning in accordance with DeVry University requirements
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
Set course expectations, objectives, assignment and examination dates, and evaluation weightings
Ensure examinations align with course terminal objectives
Prepare and grade examinations 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

A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required
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 by an internationally equivalent accredited institution
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
Blended face-to-face and technology-enhanced learning environment