Reader/Grader - MSIM Online Courses - Summer 2026

Description

Start Date: 6/17/2026

End Date: 8/31/2026

DEADLINE TO APPLY IS 9PM Pacific Standard Time.

Required Applicant Status: Masters Student

The University of Washington Information School is recruiting Master's students for  MSIM Online hourly Reader/Grader positions. You will have an opportunity in one of the required application forms to indicate which course(s) you are interested in supporting. Qualifications are based on prior course work, skill level, experience, and schedule availability.

MSIM Online Time Schedule

IMT 500 A: Foundations of Information Management  

• Lecture: M 5:50pm - 7:30pm

IMT 500 B: Foundations of Information Management  

• Lecture: W  5:50pm - 7:30pm

IMT 541 A: Enterprise Information Systems Analysis and Design

• Lecture: T  5:50pm - 7:30pm

IMT 543 A: Relational Database Management Systems 

• Lecture: F  5:50pm - 7:30pm

IMT 550 B: Policy and Ethics in Information Management   

• Lecture: M  5:50pm - 7:30pm

IMT 570 A: Data Driven Organizational Problem Solving for Information Management Professionals

• Lecture: T  5:50pm - 7:30pm

IMT 572 A: Data Science I - Theoretical Foundations   

• Lecture: TH  5:50pm - 7:30pm

IMT 574 A: Data Science II: Machine Learning

• Lecture: F  5:50pm - 7:30pm

IMT 575 A: Data Science III: Scaling, Applications & Ethics 

• Lecture: M  5:50pm - 7:30pm

IMT 577 A:  Business Intelligence Systems

• Lecture: T  5:50pm - 7:30pm

IMT 580 A: Management and Strategic Leadership 

• Lecture: T  5:50pm - 7:30pm

IMT 580 B: Management and Strategic Leadership 

• Lecture: TH  5:50pm - 7:30pm

IMT 585 A: Consulting Practices

• Lecture: M  5:50pm - 7:30pm

IMT 598 D: Managing and Implementing Generative AI Systems

• Lecture: M  5:50pm - 7:30pm

 

Each course will be assigned a Reader/Grader who may work up to 9.5 hours per week. Opportunities to support two courses for up to 19 hours per week may be available. 
 

Responsibilities may include some or all the following duties:

Prepare and grade exams and papers, maintain grading records, manage, and respond to course related email, attend instructor/employee meetings, attend lectures and office hours, and review literature. Reader/Graders may not perform teaching duties.

Pay:

$22.68 - $24.27 per hour based on experience.

Not Benefits Eligible

Questions regarding compensation or benefits should be directed to iSchool Human Resources at ihrhelp@uw.edu

 

Note: 

• This job classification is governed by a negotiated labor contract and is subject to union shop provisions. For more information about union shop provisions, visit: Union Information
• Per the UW Student Employment policy hourly student employees are limited to a maximum total of 19.5 hours per week during the active academic year. If students have more than one hourly on campus job, the 19.5 maximum hours per week includes all hourly student appointments combined. It is the students’ responsibility to ensure that they do not exceed the maximum number of hours per week. 

Qualifications

• Applicants must be located in the United States for the duration of the appointment. 
• Master's students enrolled in a minimum of 5 credits at the University of Washington Seattle during Summer 2026 or International students on their annual vacation leave quarter.
• Strong interest and ability to work with students having diverse skill levels.
• Prior completion of MSIM courses with strong performance or demonstrated proficiency in the courses content.

Conditions of Employment:

• Sexual Misconduct Disclosure (Non UW employees): https://hr.uw.edu/talent/hiring-process/background-checks/sexual-misconduct-disclosure-policy/

Application Instructions

DEADLINE TO APPLY IS 9PM Pacific Standard Time.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.