Data Course Staff Overview
The Division of Computing, Data Science, and Society appoints graduate and undergraduate students to support its instructional programs. Our outstanding staff teams bear significant responsibility for our students’ experience and learning in Data classes. Staff team members also form strong bonds with each other, mentor junior members, and create staff networks for academic and professional development.
Course staff positions are Academic Intern (AI), Reader, Group Tutor, Undergraduate Student Instructor (UGSI), and Graduate Student Instructor (GSI). The last two titles are often jointly abbreviated as (U)GSI.
Note: Academic Interns are not Academic Student Employees (ASEs).
Academic Internship is a common starting point for staff in Data 8 and Data 100. Academic Intern positions require enrollment in a P/NP class, typically for 1 unit. Correspondingly, the expected time commitment is 3 hours per week on average. AIs do not receive financial compensation. Typical responsibilities consist of providing support for students in discussion sections, labs, or office hours, supervised by (U)GSIs. The primary selection criteria are motivation for teaching and overall academic performance including performance in the class.
All the other course staff positions are Academic Student Employee (ASE) positions for which there is financial compensation. The table below provides a brief description of the typical responsibilities as well as campus requirements and salary scales.
- Detailed responsibilities for each position depend on the course and its instructors.
- The number of AI and ASE positions in a course can vary across semesters depending on the budget, course enrollment, and course structure.
- Undergraduate applicants who have no prior teaching experience are encouraged to consider AI, Reader, or Group Tutor positions before applying to be UGSIs.