Co-Instructor Pool - Artificial Intelligence, Data Science, Workplace - Extension

Co-Instructor Pool
- Artificial Intelligence, Data Science, and the Future Workplace - UC Berkeley Extension

Position title:

Instructor (Non-Senate, Non-Tenure Track)

Salary range:
This position is paid $500 to $700 per class meeting, and a reasonable estimate ranges from $500 – $2,100 total per course.

Percent time:
Part-time by agreement on a course-by-course basis.

Anticipated start:
Some appointments may begin as early as the fall semester.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply.

Position duration:
Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall and spring semesters, course length typically ranges from approximately 8 to 9 weeks; co-instructors may be arranged to teach a minimum of 1 to 3 class meetings per term. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community;

increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension, in partnership with the UC Berkeley College of Computing, Data Science, and Society, will be offering a new Berkeley Global Computing and Data Science Program that will train international and domestic undergraduate students in the technical foundation and human perspective to thrive in our AI-driven world.

UC Berkeley Extension invites applications for a pool of qualified co-instructors with knowledge and expertise in Artificial Intelligence to teach one or more class meetings of an in-person course entitled, Computing, Data Science, and the Future Workplace. Designed for the AI-augmented economy, this course empowers students to navigate and lead through rapid technological shifts. Undergraduate students studying Data Science or Computer Science will examine how AI and machine learning are redefining job roles, organizational structures, and essential skills.

This course is scheduled on weekdays in the early evening (Monday through Thursday, 5 - 7pm U.S.A. Pacific Time) in-person on the UC Berkeley campus. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following topics. For program and course descriptions, please refer to the departmental link below.

• Application of Data Science and AI in the Workplace
• Data Science Employment Opportunities
• AI Data Strategy & Optimization
• AI Societal & Workforce Impact
• AI-Driven Software Development
• Thriving in an AI-Augmented Workplace
• AI Ethics, Risk, & Governance
• Other Artificial Intelligence Course or Subject Areas (please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including:
Classroom (In-Person).

• For classroom instruction, duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; and delivering lectures, presentations, and learning activities for all required hours of…