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Pitt Community College in North Carolina seeks an instructor to teach computer programming, including AI, generative AI, and AI-assisted tools, integrating languages, environments, and tools to help students master coding, debugging, testing, and software development with emphasis on ethics and responsible oversight. This is not a remote position.
The role involves teaching 18–21 hours weekly across day, evening and online formats, performing classroom planning, grading, advisement, and service
Under limited supervision will teach courses in computer programming, including the effective and responsible use of artificial intelligence (AI), generative AI, and AI-assisted programming tools in software development and computer science education. Integrates current programming languages, development environments, software tools, and AI technologies into instruction to help students understand how AI can be used to support coding, debugging, testing, documentation, problem-solving, and software development while emphasizing programming fundamentals, critical thinking, accuracy, security, ethics, and appropriate human oversight. This is not a remote position.
Minimum Requirements:
Master’s degree in computer science or a related field (or a master’s degree with at least 18 graduate credit hours in computer science or a related field) Strong analytical, organizational, and communication skills. A collaborative and inclusive style. Teaching experience preferred
Our Values
Work is primarily performed in a classroom or laboratory setting equipped with standard instructional technology. The position involves frequent interaction with students, faculty, and staff and includes the use of online instructional platforms. Occasional travel may be required for professional development, off‑campus instruction, or college events.
The physical demands described here are representative of those that must be met to successfully perform the essential functions of this position:
Full-Time, 9‑MONTH faculty position. Teaching responsibilities may include daytime, evening, hybrid, and online classes as assigned to meet departmental needs. Office hours are required for student advising, course prep, committee participation, etc. Occasional evenings or weekends may be required for outreach activities, program support or professional development.