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Student TA – CS-Computer Imaging; Talukdar), F26

Remote / Online - Candidates ideally in
Redmond, King County, Washington, 98052, USA
Listing for: Digipen
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-11
Job specializations:
  • Education / Teaching
    Computer Science, IT/Computer Science Instructor
Salary/Wage Range or Industry Benchmark: 21000 - 30000 USD Yearly USD 21000.00 30000.00 YEAR
Job Description & How to Apply Below
Position: Student TA – CS-370 Computer Imaging (Talukdar), F26
Applicants MUST be current students at Digi Pen Institute of Technology to qualify for this position.
  • Student Employment at Digi Pen is open to all currently matriculated students if they meet the qualifications for the job.
  • Students
    may not work during any time when they have a class scheduled , a class is canceled , or a class ends early .
  • Student workers must reside within the State of Washington. Remote work outside of Washington will not be permitted.
Job Title:
Student TA – CS-370 Computer Imaging (Talukdar), F26

Reports to
:
Bilas Talukdar

Class Times:

Wednesday – 10:30 - 11:20 a.m.

Friday – 10:30 - 11:30 a.m.

Essential Functions

The Computer Science Department is seeking a Teaching Assistant for CS-370/-570:
Computer Imaging

. The course covers image representation, spatial and frequency-domain filtering, Fourier transforms, noise removal, color processing, HDR imaging, and computational photography. Programming assignments may use C, C++, or Python.

Duties and Responsibilities

  • Assist students with programming assignments and debugging.
  • Hold office hours or lab support sessions.
  • Grade assignments, quizzes, exams, and projects using instructor-provided rubrics.
  • Help students understand image-processing concepts.
  • Support final project presentations and course administration.
  • Accurately track and report hours worked.

Required Qualifications/Competencies

  • Must have previously completed CS-370 or CS-570 at Digi Pen Institute of Technology.
  • Must be a graduate student or advanced undergraduate student in Computer Science or a related field.
  • Strong programming skills in C, C++, or Python.
  • Good understanding of image processing, including filtering, histograms, Fourier transforms, interpolation, and noise reduction.
  • Ability to debug code and explain technical concepts clearly.
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