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Part Time Computer Vision Jobs (NOW HIRING)

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Part Time Computer Vision information

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$33.5K

$48.3K

$63.5K

How much do part time computer vision jobs pay per year?

As of Sep 11, 2026, the average yearly pay for part time computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a part time computer vision job?

Part-time computer vision jobs involve working fewer hours than a full-time position, typically in roles that focus on developing, testing, or implementing computer vision algorithms and systems. These jobs may include tasks such as image and video analysis, machine learning, data annotation, or AI model development, often in industries like healthcare, automotive, retail, or security. Part-time positions can be ideal for students, freelancers, or professionals seeking flexible work arrangements while contributing to innovative technology projects.

What skills and qualifications are needed for a part time computer vision role?

To thrive as a Part Time Computer Vision Specialist, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Experience with programming languages like Python, frameworks such as OpenCV or TensorFlow, and familiarity with image processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in problem-solving and collaborating with team members. These skills and qualities are essential for successfully developing and implementing computer vision solutions that meet project goals and deadlines.

What types of projects and collaboration can I expect in a part time computer vision role?

In a part-time computer vision position, you’ll often work on focused projects such as image classification, object detection, or facial recognition, typically within a small team or as an individual contributor. You’ll likely collaborate with data scientists, software engineers, or product managers, sharing updates during virtual meetings and using collaborative tools like GitHub for code review and integration. While the part-time nature provides flexibility, clear communication and self-management are important as you may need to synchronize your progress with the broader team. This role is a great way to gain hands-on experience with cutting-edge technologies and build a portfolio for future full-time opportunities.

What is the difference between Part Time Computer Vision vs Part Time Machine Learning Engineer?

AspectPart Time Computer VisionPart Time Machine Learning Engineer
Required CredentialsBachelor's in CS, CV certifications, relevant experienceBachelor's in CS, ML certifications, relevant experience
Work EnvironmentTech companies, research labs, startupsTech firms, research institutions, startups
Industry UsageImage/video analysis, autonomous vehicles, roboticsData modeling, predictive analytics, AI applications
Search & Comparison IntentUnderstanding role scope, skills, and job dutiesSimilar roles, skills overlap, career paths

Part Time Computer Vision focuses on analyzing visual data, while Part Time Machine Learning Engineer works on developing algorithms across various data types. Both roles require similar educational backgrounds and work environments but differ in their specific focus areas within AI and data analysis.

More about Part Time Computer Vision jobs

What cities are hiring for Part Time Computer Vision jobs?

Cities with the most Part Time Computer Vision job openings:

What are the most commonly searched types of Computer Vision jobs?

The most popular types of Computer Vision jobs are:

What states have the most Part Time Computer Vision jobs?

States with the most job openings for Part Time Computer Vision jobs include:

Infographic showing various Part Time Computer Vision job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

PART TIME INSTRUCTOR POOL - COMPUTER SCIENCE

El Cajon, CA • On-site

The Grossmont-Cuyamaca Community College District
Colleges, Universities, and Professional Schools • 1 - 5K employees

$70.84 - $86.11/hr

Part-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

Transforming lives through learning isn't just the vision of the Grossmont-Cuyamaca Community College District. It happens every day with our 30,000 students who take the first step in their higher education, become trained for a new career, or learn knowledge that transforms their world perspective.
The Grossmont-Cuyamaca Community College District honors a diverse academic community and fosters equity mindedness across our institutions. As such, the District is committed to eliminating achievement gaps among different student groups by promoting a culture of appreciation for diversity, equity, inclusivity, and social justice, and continuously examining our processes and practices through an equity lens.
The District provides an excellent health and welfare benefits package to its employees. We take care of our employees and have continued to offer medical, dental and vision coverage to eligible employees and their dependents at no charge for any of the plans we offer.
Become a part of this dedicated team in beautiful San Diego County!
Please read the entire job posting before your application is submitted. Important instructions to applicants are at the bottom of the page. Be attentive when applying as many of our positions require multiple attachments.
Please note: each page of the application will save upon clicking 'next.' Draft applications can be accessed through the candidate home page.
Job Summary
Department: Career, Technical Education/Workforce Development
FTE: <67%
Work hours: Varies based on assignment
Starting Salary Range: $70.84 - $86.11 (Class II, step 1 to Class VI, step 1) based on the Adjunct, Overload and Substitute Salary Schedule.
Please follow the link for the complete salary schedule included in the job description.
Anticipated Start Date: Fall 2026
Job Description
SUMMARY
Under administrative leadership, it is the responsibility of part time faculty to perform tasks which support advancement of the visions, missions, and values of the colleges and District. Part time faculty have responsibilities in regards to their classroom assignment, evaluation of students, curriculum, student advising, professional development, and any assignment-specific needs.
https://www.gcccd.edu/_resources/docs/human-resources/job-descriptions/F.AFT%20-%20INSTRUCTOR%20PART%20TIME.pdf
MINIMUM QUALIFICATIONS
  • Master's in computer science or computer engineering OR
  • Bachelor's in either computer science or computer engineering AND Master's in mathematics, cybernetics, business administration, accounting or engineering OR
  • Bachelor's in engineering AND Master's in cybernetics, engineering, mathematics, or business administration OR
  • Bachelor's in mathematics AND Master's in cybernetics, engineering, mathematics, or business administration OR
  • Bachelor's degree in any of the above AND a Master's degree in information science, computer information systems, or information systems OR
  • The equivalent.

NOTE: If you are applying under an Equivalency, you MUST submit additional Equivalency Determination Form. Your Equivalency Materials must be included in order to submit your application.
Click here for Faculty Equivalency Qualifications.
WORKING CONDITIONS: Faculty positions may require long periods of standing and walking in a typical classroom setting. Specific conditions may vary by subjects taught.
SALARY SCHEDULE: Adjunct, Overload and Substitute Salary Schedule.
Additional Information
SPECIAL INSTRUCTIONS TO APPLICANTS:
Applicants may find it helpful to refer back to the job posting, specifically the special instructions, while applying. Consider saving the job description or opening a new browser window.
Having the following materials prepared and ready to attach BEFORE beginning the application may make the application experience more seamless.
  • Current Resume/Curriculum Vitae
  • Cover letter
  • Unofficial transcripts
  • Equivalency Materials (if applicable)

GCCCD recruits for Part Time Faculty positions year-round. Applications will be kept in the pool for a period of one year, and contacted for interviews on an as-needed basis.
Application materials with pictures or personal information will render your application incomplete. Please do not include any materials that were not asked for.
Please upload .doc, .docx, or PDF files. If you are working on Google Docs or Mac files please be sure to save under .doc or PDF for file to upload correctly.
If you have a degree from a college or university outside of the UNITED STATES, you must have your coursework evaluated by a professional association. Click here for Foreign Degree Translation information.
Official transcripts will be required if you are offered employment.
BENEFITS: The Grossmont-Cuyamaca Community College District provides an optional part time faculty benefits program, and membership in the State Teachers' Retirement System (STRS) or the Pension Eligible Alternative Retirement (PEAR) Plan.
Under Federal Law, employers are required to verify that all new employees are eligible for employment in the United States. Prior to appointment to a position, you must present acceptable proof of your identity and authorization to work in the United States.
GCCCD is an Equal Employment Opportunity and Title IX employer.
Applicants who are protected under the Americans with Disabilities Act and who require accommodations for completing the application process or interviewing should notify the Human Resources Department by emailing D-HR-Jobs@gcccd.edu.
Offers of employment are contingent upon successful fingerprint clearance. A processing fee plus Live Scan fee will be required.