Hybrid Visiting of Artificial Intelligence
$45,760–$48,880 year
On-site · San Jose, California, United States or Newark, California, United States
Job Summary
Visiting Professor (Part-Time) teaching AI-related courses at DeVry University with responsibility for developing and delivering syllabi, organizing course materials, leveraging online technologies, and providing timely feedback on exams. Courses meet 8-week sessions with face-to-face instruction blended with technology, onsite at San Jose, CA and Newark, CA. Requires a doctorate in AI/CS/DS or related field with 18 graduate AI credits, 3–5 years of applied AI/ML/DS experience, and relevant certifications. Pay is hourly (states AZ, CA, IN, PA) at $22.00/hr or $23.50/hr; benefits available for eligible part-time roles; ongoing application accepted.
Required Qualifications
- 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 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.
- 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.
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