Where education meets innovation: UCLA Extension, one of the leading institutions for professional development and continuing education, is seeking experienced professionals to teach our Artificial Intelligence Technology Management program. With over 35,000 students annually, UCLA Extension is dedicated to empowering learners from all backgrounds with the skills they need to excel in today’s tech-driven world.
As an AI Technology Management Instructor, you'll have the opportunity to share your industry knowledge and real-world applications of AI with motivated, diverse students. This is your chance to inspire the next generation of AI leaders and practitioners, teaching them how to leverage cutting-edge technologies to drive business and societal impact.
What You’ll Do
As an instructor for the AI Technology Management program, you’ll:
- Develop and update course content in collaboration with UCLA Extension’s Program Director to ensure it stays current with industry advancements.
- Engage students through weekly live Zoom office hours, Q&A sessions, and regular communication to foster a collaborative, interactive learning environment.
- Facilitate high-quality learning experiences through Canvas, including interactive discussions, assignments, and timely grading.
- Mentor students and provide timely feedback on assignments and projects, ensuring they understand complex concepts and can apply them to real-world problems.
- Collaborate with UCLA Extension’s internal staff to streamline administrative tasks and improve course delivery.
You’ll be teaching 100% online, allowing you the flexibility to engage with students from anywhere while ensuring a dynamic and interactive learning environment.
What We’re Looking For
Basic Qualifications:
- Master's or Ph.D. in a tech-related field such as Computer Science, Engineering, or High-Tech Industry Experience. Alternatively, 10+ years of hands-on industry experience in AI or related fields.
- 5+ years of industry experience directly working with AI technologies, including machine learning, natural language processing, and robotics.
- Deep knowledge of AI fundamentals, including AI applications, hardware, software, networks, and databases.
- Passion for teaching and a commitment to creating a positive and engaging learning experience for students.
- Ability to convey complex, conceptual ideas to students at all levels with clarity and enthusiasm.
- Teaching experience at the college level is preferred, though not required.
Preferred Qualifications:
- Experience designing and teaching courses on Canvas or similar Learning Management Systems (LMS).
- Experience with curriculum development and measuring student performance.
