- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
There are many opportunities for undergraduate students to be employed as course staff within Information Science. Students hired as course staff may choose to work for an hourly salary or work for course credit. Typically, students are hired for one semester at a time, but, in some cases, student appointments are extended for a full academic year. Students may only work as course staff for one class per semester.
Current Course Staff opportunities*
Within Information Science, students may work as Undergraduate Teaching Assistants (TAs), which are responsible for leading discussion sections, developing assignments, grading assignments and/or exams, holding office hours, answering Piazza questions, and/or other duties as assigned.
*Please note that students working as Info Sci course staff for Info Sci summer session classes must have prior experience as Info Sci course staff in the fall and/or spring semesters.
Working for an Hourly Salary
Students choosing to work as course staff for pay will receive an hourly salary based on their experience level, job duties, and level of course for which they are working. Students cannot work for both an hourly salary and course credit at the same time.
Students working for an hourly salary must:
- Apply online
- Have a valid I-9 Employment Eligibility Verification Form on file with Cornell University
- Attend a mandatory TA training session (for first-time Info Sci course staff employees only)
Working for Course Credit
Students choosing to work as course staff for course credit will receive credit hours for INFO 4910. The number of credits a student can earn is determined by the Info Sci faculty member for which the student is working and is based on their experience level, job duties, and level of course for which they are working. Students cannot work for both an hourly salary and course credit at the same time.
INFO 4910 counts only as an advisor approved elective and can be taken for either S/U or Grade. Arts & Sciences students are advised NOT to take INFO 4910, as none of the credits taken in INFO 4910 will be counted toward the academic credits needed for graduation.
Students working for course credit must:
- Apply online
- Add the course by enrolling in your professor’s section of INFO 4910 in Student Center.
- Attend a mandatory TA Training Session (for first-time Info Sci course staff employees only)
The Information Science Department offers a training program that focuses on the real issues that our TAs deal with every day, such as helping students during crowded office hours, grading effectively and fairly, keeping limits, dealing with implicit bias, and handling distressed students. The College of Engineering offers a similar training session. One-time participation in TA training is required of all undergraduate TAs. Food and drink will be provided, and students are paid for attending.
If you participated in the training during a prior semester, you do not need to participate again. See below for upcoming sessions. Please use the link below to sign up for one session.
SPRING 2022 Info Sci TA training Session dates : TBA
SPRING 2022 Info Sci/Computer Science/ Engineering consultant/ TA training session date: TBA
Absolute integrity is expected of every Cornell student, faculty, and staff in all undertakings and is expected not only in formal course work but also in all University relationships and interactions, including the use of University resources.
Students who have been convicted of violating the Cornell University Code of Academic Integrity and/or convicted of academic fraud are not eligible to work as course staff for the Department of Information Science.
All students interested in a course staff position within Information Science need to complete an online application, even if you have worked as course staff before.
Spring 2022 Application Dates:
- Application opens: October 28, 2021
- Close application to students: November 30, 2021