Lecturer and/or Course Designer, Integrate Artificial Intelligence and Machine Learning into Information Technology and Cloud Computing Certificates

UVA Health • Charlottesville, VA

58d • Remote

About The Position

The School of Continuing and Professional Studies (SCPS) at the University of Virginia (UVA) is seeking applications for one or more non-tenure track, part-time lecturer positions. These roles will support the instructional design, (re)development, and delivery of courses in artificial intelligence (AI), machine learning (ML), and applied cloud-based AI technologies. These courses are part of the Cloud Computing Undergraduate Certificate, Information Technology Undergraduate Certificate, and forthcoming AI and ML coursework. SCPS is hiring multiple positions to update existing courses and develop new ones, with a focus on AI- and ML-related learning outcomes. All courses are delivered online as three-credit courses at either the undergraduate or graduate level. For lecturer teaching assignments, the ability to lead engaging, interactive sessions online (primarily on Zoom) and in person is essential.

Requirements

• A graduate degree (master’s degree or higher) in computer science, engineering, data science, information systems, or a closely related field
• At least three (3) years of professional experience in artificial intelligence, machine learning, data science, or cloud-based analytics
• Experience building, deploying, or working with AI/ML models, tools, or workflows
• At least two (2) years reaching, training, mentoring, or instructional support experience in technical or professional education settings
• Experience teaching AI, ML, data science, or cloud computing in higher education, professional education, or corporate training environments

Nice To Haves

• Relevant AI, ML, data science, or cloud certifications (e.g., AWS, Azure, Google Cloud, or equivalent)
• Demonstrated willingness to stay current with emerging AI technologies, tools, and teaching strategies
• Experience designing hands-on labs, projects, or case studies using platforms such as AWS, Microsoft Azure, Google Cloud, or open-source ML frameworks
• Experience with online and/or in-person intensive training or education programs
• Proficiency using Canvas or similar learning management systems
• Relevant industry certifications and/or professional memberships

Responsibilities

• Reviewing and updating learning outcomes
• Aligning and building refreshed or new course content
• Developing assignments and assessments
• Supporting hands-on labs
• Teaching or co-teaching live online undergraduate and/or graduate course sessions
• Leading engaging, interactive sessions online (primarily on Zoom) and in person

Benefits

• This job profile is only for faculty members hired to complete a short-term and/or part-time academic work assignment, such as teaching one or more courses for one or two academic terms.
• Wage Faculty (Adjunct) may only be paid via Period Activity Pay.
• Faculty wage appointments are subject to change and carry no expectation of renewal from year to year.
• Faculty wage employment is usually less than 0.5 FTE (teaching fewer than 6 credits or the equivalent of no more than 19 hours per week); is offered for only one or two semesters at a time; and applies to faculty members paid solely via Period Activity Pay.
• Wage Faculty (Adjunct) positions are at-will and come with no expectation of renewal, and are not eligible for leave or other benefits.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level