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Computer Vision Research Assistant Jobs in Escanaba, MI

Library Assistant

Escanaba, MI · On-site

$16.30/hr

... research, self-awareness, and cultural awareness; and job training for work-study students. This ... Willingness to learn to use and troubleshoot a variety of computer programs and technologies.

Library Assistant

Escanaba, MI · On-site

$16.30 - $19.18/hr

... research, self-awareness, and cultural awareness; and job training for work-study students. This ... Willingness to learn to use and troubleshoot a variety of computer programs and technologies.

Library Assistant

Escanaba, MI · On-site

$16.30 - $19.18/hr

... research, self-awareness, and cultural awareness; and job training for work-study students. This ... Willingness to learn to use and troubleshoot a variety of computer programs and technologies.

Specific vision abilities required by the job include close vision, distance vision, color vision ... Computer, recruiting and statistic software, tablet, stopwatch, baseballs, pitching machine, radar ...

Administrative Assistant

Northland, MI

$17 - $23/hr

We seek a personable individual with excellent computer and clerical skills (Microsoft Office). You ... Join us as we pursue our vision "To Build the Greatest Healthcare Community the World has Ever Seen ...

Health - Dental Support Assistant

Perronville, MI · On-site

$16.25 - $21.25/hr

Physical factors include constant manual handling, use of hearing, near/midrange/far vision, depth ... and computer and medical equipment use. Personal protection equipment provided by the employer ...

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Computer Vision Research Assistant information

See Escanaba, MI salary details

$30.3K

$43.6K

$57.4K

How much do computer vision research assistant jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computer vision research assistant in Escanaba, MI is $43,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $50,100.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What job categories do people searching Computer Vision Research Assistant jobs in Escanaba, MI look for?

The top searched job categories for Computer Vision Research Assistant jobs in Escanaba, MI are:

What cities near Escanaba, MI are hiring for Computer Vision Research Assistant jobs?

Cities near Escanaba, MI with the most Computer Vision Research Assistant job openings:

Federal Work Study - Institutional Research Assistant 2026-2027

Bay College

Escanaba, MI • On-site

$13.73/hr

Full-time

Re-posted 13 days ago


Job description

Position Details
Position Information
Position Title
Federal Work Study - Institutional Research Assistant 2026-2027
Pay Grade Level
FLSA
Benefits
Department
Institutional Effectiveness
Campus Location
Escanaba
Pay Rate
$13.73 per hour
Min Salary
Max Salary
FTE
Position Type
Student
Job Summary/Basic Function
The purpose of the Federal Work-Study Program is to give a student an opportunity to develop skills, gain on-the-job experience for future employment, and give the student flexibility to work around class schedules.
Minimum Qualifications
  • Must be a Bay College student in the work study program to be considered for this position. Eligibility for work-study is determined after you file the Free Application for Federal Student Aid (FAFSA).
  • Work-study requires that you are degree seeking and enrolled in a minimum of one credit that applies towards the semester you are employed.
  • You must maintain Satisfactory Academic Progress.

Preferred Qualifications
Months Per Year
Work Hours
Average 10-15 hours per week, dependent upon your work study award.
Supervision Exercised
Supervision Received
Works under the direction of the Director of Institutional Effectiveness.
Work Environment
Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually moderate, but may be loud in areas of equipment operation.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is required to stand; move around the Center; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Job Duties
Job Duty
  • Work in completing tasks and projects as assigned.
  • Word Processing
  • Spreadsheets
  • Assist with mailing document and letters
  • Photocopying and stocking forms, filing, etc.
  • Reorganizing office files
  • Assembly of student survey packets
  • Assembly of document packets
  • Other duties and projects as assigned in Institutional Research
  • Supporting of other areas in the Institutional Research area as requested - including Student Services and Human Resources, if needed.

Department Information
Contact(s)
Beth Berube, Director of Human Resources
Shena Turan, Human Resource Specialist
Contact Phone/Extension
906-217-4016
Contact Email
[email protected]
Contact Fax
906-217-1625
Posting Detail Information
Posting Number
Posting Date
03/20/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Must be a Bay College student in the work study program to be considered for this position.
Quick Link for Internal Postings
https://careers.baycollege.edu/postings/2817