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Commensurate with education and experience.

Preferred requirements include: Familiarity with – or willingness to adopt – best practices for online learning, including the use of Blackboard. Strong, demonstrated commitment to quality teaching, student success and student completion. Ability to use technology in the teaching and learning process. Ability to establish and maintain positive and effective working relationships with students, college employees and the public. Ability to communicate effectively, both orally and in writing; define problems, collect data, establish facts, and draw valid conclusions; and effectively present information. Strong detail orientation and ability to multi-task with little direct supervision. Cooperating as a team player. Ability to thrive in a customer-service oriented collaborative team environment. Applicants must be able to demonstrate fluency in writing and speaking English.

Our Practical AI & Intelligent Automation program equips students with the applied skills needed to harness artificial intelligence, data analytics, and automation technologies in real-world settings. Through project-based learning and industry tools, students gain hands-on experience deploying solutions that solve modern business and technical problems.

We are accepting general applications from professionals across the AI and automation landscape.

Teach online courses in our accelerated Practical AI & Intelligent Automation program. Your instruction will guide students in developing practical solutions using modern AI platforms and automation tools, preparing them for workforce-ready roles in AI implementation and data-driven decision-making.

Essential Job Functions: Teaches courses in applied AI, machine learning, automation, and data analytics using industry tools such as OpenAI, Hugging Face, Power BI, and UI Path. Designs labs and assignments involving chatbot development, model deployment, workflow automation, and business intelligence visualization. Provides timely, constructive feedback and mentorship to help students build AI portfolios and demonstrate career-ready competencies. Maintains updated syllabi and instructional materials aligned with evolving AI industry standards and ethical AI practices. Contributes to curriculum development, assessment, and institutional training related to ethical automation, responsible AI, and applied data science. Assess student performance using a variety of evaluation tools and communicates progress promptly, providing constructive feedback to guide improvement. Maintains professional and collegial relationships with students, colleagues, and community stakeholders, contributing to a positive and inclusive learning environment. Participates in departmental meetings, curriculum development, assessment activities, professional development workshops, and institutional trainings. Performs other duties as assigned, which may include collaboration on program enhancement, advisory committee engagement, or coordination of instructional resources.

This is a part-time online position.

Key Responsibilities: Delivers engaging, hands-on instruction. Develops syllabi, lesson plans, and assignments aligned with program objectives. Provides constructive feedback and support to students. Stays current with trends, technology, and industry standards. Collaborates with other faculty to enhance curriculum and student outcomes.

Bachelor's degree in computer science or a related field. Work experience may also be considered.

Strong commitment to the mission of SamPoly. Proficiency in applying machine learning and natural language processing using platforms like OpenAI and Hugging Face. Familiarity with data visualization and reporting tools, especially Power BI. Experience with robotic process automation (RPA) tools such as UI Path. Ability to explain core AI concepts such as supervised/unsupervised learning, prompt engineering, and model evaluation. Strong communication and technical instruction skills with a focus on hands-on, project-based learning. Understanding of responsible AI principles, bias detection, and ethical considerations in automation. Effective instructional design and classroom management skills that foster active learning, student engagement, and measurable skills development. Ability to apply adult learning principles and support various learning styles using inclusive and equitable teaching methods. Strong communication skills—both oral and written—with the ability to explain complex technical concepts in accessible terms. Ability to collaborate with faculty peers, industry partners, and advisory boards to align curriculum with workforce needs and evolving technologies. Commitment to continuous professional growth, academic excellence, and student-centered teaching. Willingness to incorporate service learning, interdisciplinary teaching, and emerging instructional technologies into course delivery. Proficiency with learning management systems (e.g., Canvas, Blackboard) and digital learning tools for remote and hybrid instruction.