GSI Ling ; Winter

• Attend all lectures and lab days for the course. Lab days are held at the same time as lecture, but are just for students to work and seek help. (Verify your own course schedule against the schedule for the course to which you are applying as a GSI. All GSIs are required to attend the lecture and lab times as posted.)
  
  Note that class sessions are scheduled as in-person instruction.
• Hold at least 2 office hours each week.
• Manage IAs who are serving as graders and helpers in lab sessions
• Grade assignments, per lead faculty instruction.
• Meet weekly with the lead instructor, and respond promptly to emails.
• Additional items listed in fraction calculation form

• Enrolled in good standing as a graduate student at the University of Michigan
• Available to teach the scheduled section times
• Have previously taken these courses or relevant courses, and have demonstrated expertise and interest in subject area
• Experience with Canvas
• Completed basic courses, or have experience, in Computing or a closely related field (e.g., CSE, Information, Statistics, Sciences classes using Python).
• If the language of instruction at a students undergraduate institution was not English, the student must be evaluated by the English Language Institute (ELI) for English proficiency and either pass the GSI-OET or have this test waived by the ELI before they can be eligible for a GSI appointment in LS&A.

• Previous experience as a GSI is desired
• LSA graduate students are preferred
• Knowledge of AI/ML mechanisms such as reinforcement learning, unsupervised and supervised learning, training a neural network, and transformers.
• Be comfortable with Python (e.g., know basic control structures and function and class definitions, comfortable working with Python programs of 100-500 lines of code)

The Linguistics Department is looking to hire 2 GSIs in the Winter 2027 term to manage undergraduate instructional aides (IAs), grade, and lead lab sections for faculty-led lectures in the following course:

• LING 321:
  Alien Anatomy:
  How ChatGPT Works, 2 section (anticipated enrollment: 160 students)
  Students will learn about the basic AI and machine learning techniques that make up UM ChatGPT, such as neural networks, back propagation, transformers, training, and guardrails. Students will build several AI projects, including a chatbot, image recognizer, and gesture recognizer. Readings and discussions will explore the limitations, regulation, and comparisons with humans to ChatGPT and similar LLM technologies.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .

The course instructor will make the hiring decisions in consultation with the Linguistics Department Graduate team.

Applications are reviewed, and decisions made, based on each applicants knowledge, experience, and past teaching record. Preferential consideration will be given to applicants with relevant academic preparation for teaching the course material.

The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, genetic information, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression (whether actual or perceived), sexual orientation, age, height, weight, disability, citizenship status, veteran status, HIV antibody status, political belief, membership in any social or political organization, participation in a grievance or complaint whether formal or informal, medical conditions including those related to pregnancy, childbirth and breastfeeding, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified.

The University of Michigan agrees to abide by the protections afforded employees with disabilities as outlined in the rules and regulations which implement Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act.

Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. In the event that an employee does not receive their preferred…