Job Title
Instructional Aide for SI 602 Fall 2026
Job ID
282214
Location
Ann Arbor Campus
City
Ann Arbor
State
MI
Regular/Temporary
Temporary
Full/Part Time
Part-Time
Mode of Work
Onsite
Job Title
INSTRUCTIONAL AIDE (TEMP)
Appointing Department
School of Information
Posting Begin Date
08/24/2026
Posting End Date
08/31/2026
Date Closed
 
FLSA Status
Nonexempt

How to Apply

 

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.  In particular, it should discuss your availability during class time: Tuesday/Thursday 9am-10:30am, ability to write scripts that automate certain grading tasks (or willingness to learn).


Send your cover letter and resume to Grant Schoenebeck at schoeneb@umich.edu

Responsibilities*

 
  • Manage Canvas site
  • Create a grading pipeline for certain assignments using machine learning to grade participation and summarize student experiences/progress.  
  • Assist in the preparation of instructional materials
  • Help to prepare, administer, and grade examinations
  • Teach in case of instructor absence

*IAs are not expected to hold regular office hours.

Required Qualifications*

 
  • Undergraduate student in good academic standing with knowledge of the subject matter.
    OR
  • Non-UM Student with a Bachelor's or Master's degree in information technology
  • This position is not open to current University of Michigan graduate students.
  • Bachelor's or Master's degree in information technology
  • 1+ years of experience in an administrative or program support role, especially in higher education.
  • Flexibility to occasionally work outside regular business hours to support events.
  • Basic understanding of web accessibility guidelines.
     

Course Description

 

This course builds and strengthens the mathematical foundations required to succeed in applied data science. The course will review fundamental concepts in probability and linear algebra and demonstrate how these concepts are applied to core approaches in data analysis.

Modes of Work

 

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.

Background Screening

 

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

U-M EEO Statement

 

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.