Job Title
INSTRUCTIONAL AIDE (TEMP) - Fall 2026 SI 305
Job ID
282645
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
09/02/2026
Posting End Date
09/16/2026
Salary From
20.00
Salary To
35.00
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.


Upload your cover letter and resume to this drop box link by Friday, September 4. 
 

Job Summary

 

This position involves helping with grading, student support, and course management.

Responsibilities*

 

Instructional Aide (Eligibility: Undergraduate Students, Non-Students)

  • Assist in teaching courses
  • Preparing instructional materials
  • Managing Canvas site
  • Give laboratory or clinical demonstrations
  • Prepare, administer, and grade subjective and objective examinations and assignments
  • Lecture and lead laboratory and recitation sections.
  • May interact with students regarding course content or grades
     

Required Qualifications*

 
  • Undergraduate in good academic standing with knowledge of the subject matter. OR
  • Non-UM Student with 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.
  • Must have a basic understanding of web accessibility guidelines.
     

Course Description

 

This course focuses on how to apply information analysis to real-world problems. It introduces students to analyzing data in python, using frameworks such as pandas and matplotlib. It emphasizes that proficiency in technical methods-programming, statistics, etc., is not sufficient. To be effective in practice, information analysts need to learn about real-world challenges faced by people or organizations, align their data analysis with a person or organization's specific needs, and prioritize impacts over sophisticated techniques. The course will help students adopt and apply this mindset through a semester-long project. 
 

More information about this course can be found on U-M's Course Catalog via Wolverine Access.
 

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.

School of Information, Leinweber Building, University of Michigan, Ann Arbor - This is an in-person position with an occasional need or flexibility for remote work. Hybrid work is possible and follows the UMSI Remote Work Policy and with supervisor approval. Remote work agreements are reviewed annually and are subject to change depending upon our needs.

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.