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Part Time Computer Vision Engineer Jobs (NOW HIRING)

Part-Time CAD Operator/ Installer.

Broomall, PA · On-site

$18.75 - $25.75/hr

The in-house design, engineering, sales, purchasing, project management, and installation teams ... Maintain CAD drawings templates * Plotting of completed drawings sets * As-Built documentation

Showing results 21-40

Part Time Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Sep 10, 2026, the average yearly pay for part time computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a part time computer vision engineer?

Part-time computer vision engineers are professionals who specialize in designing and implementing computer vision algorithms and systems, but work fewer hours than a full-time schedule, often on a contract or project basis. Their responsibilities typically include developing models for image and video analysis, object detection, and related tasks using machine learning and deep learning techniques. These engineers often collaborate with teams to integrate vision systems into products, troubleshoot issues, and optimize performance. Working part-time allows flexibility, making this role suitable for students, freelancers, or those seeking work-life balance.

What are the key skills and qualifications needed to thrive as a part time computer vision engineer?

To thrive as a Part Time Computer Vision Engineer, you need a strong background in computer science, mathematics, and experience with image processing and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, collaboration, and effective time management are crucial soft skills for balancing part-time responsibilities and project goals. These skills and qualities are important to deliver innovative, high-quality solutions efficiently in a dynamic and technically demanding field.

What are some common challenges faced by part time computer vision engineers, and how can they be addressed?

Part-time computer vision engineers often face challenges such as balancing project deadlines with limited working hours and staying updated with rapidly evolving technologies. Effective communication with full-time team members is essential to ensure alignment on project goals and deliverables. Utilizing collaborative tools, maintaining clear documentation, and attending regular meetings can help bridge gaps in communication and workflow. Additionally, setting realistic timelines and prioritizing tasks can enable part-time engineers to maximize their impact and stay productive within their schedule.

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

AspectPart Time Computer Vision EngineerPart Time Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, startups, research institutions working on predictive models and data analysis
Employer & Industry UsageUsed in industries like automotive, healthcare, security for visual data processingApplied across finance, healthcare, e-commerce for data-driven decision making

While both roles involve machine learning skills, a Part Time Computer Vision Engineer specializes in visual data analysis and image processing, whereas a Part Time Machine Learning Engineer focuses on developing algorithms across various data types. The choice depends on your expertise in visual technologies versus broader machine learning applications.

More about Part Time Computer Vision Engineer jobs

What cities are hiring for Part Time Computer Vision Engineer jobs?

Cities with the most Part Time Computer Vision Engineer job openings:

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

The most popular types of Computer Vision Engineer jobs are:

What states have the most Part Time Computer Vision Engineer jobs?

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

What are popular job titles related to Part Time Computer Vision Engineer jobs?

For Part Time Computer Vision Engineer jobs, the most frequently searched job titles are:

Infographic showing various Part Time Computer Vision Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Assistant Faculty (Part-Time), Computer Information Systems

Remote

Strategic Education
Colleges, Universities, and Professional Schools • 5 - 10K employees

$19/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Strategic Education rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Assistant Faculty are an essential part of creating the optimal learning environment. The University relies on assistant faculty to support instructional faculty by interacting with students in online classrooms that have many students. The successful Assistant Faculty is student focused and able to create and implement various methods of communication and supplemental instruction to support student success. This position works a defined number of hours per week and reports into key Faculty roles within the designated team.

To create an optimal learning environment, the University relies on Assistant Faculty to support instructional Faculty by interacting with students in online classrooms that have a large number of students.

We are currently in search of a passionate part-time Assistant Faculty to support our Online undergraduate level CIS333, SEC340, SEC420, and SEC435 courses.

This position will require a set weekly schedule (20 hours/week) and the selected candidate MUST be available to work weekday evenings between the hours of 6pm to 9pm ET, in addition to weekend availability.

NOTE:Applications must include copies of unofficial transcripts to receive full consideration.

Essential Duties & Responsibilities:

  • Analyze student activity within discussions and assessments and respond appropriately based upon training and input from the lead instructor.

  • Assist in managing student communications.

  • Escalate unique issues to the lead instructor.

  • Assist with grading and providing feedback.

  • Monitor students' engagement levels and provide recommendations on the best approach on how to increase engagement.

  • Assist the lead instructor as needed or directed, providing tutoring, live sessions, or other student support.

  • Assist the lead instructor as needed or directed with student outreach.

  • Assist the lead instructor as needed in developing supplemental support documents, videos, job aids.

  • Other duties as assigned.

Job Skills:

  • Excellent written and verbal communication skills and ability to interact effectively with faculty, coaches, and learners.

  • Demonstrated effective time management skills.

  • Excellent relationship-building, customer service, and problem resolution skills.

  • Demonstrated strong attention to detail, initiative and follow-through.

  • Experience working with a diversity of learning styles.

  • Comfortable using technology to facilitate learning.

Work Experience:

  • Professional experience in the field of study is preferred and may be required dependent on course credentialing requirements.

  • Previous teaching experience preferred.

  • Online teaching experience preferred.

Education:

  • Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Information Assurance or similar field required.

Certificates, licenses and registrations:

  • Certification Requirements: Security+, CEH, or CHFI

  • Candidates without the required certifications will be asked to agree to a professional development plan that will have them earn these certifications within a year of employment

Other:

  • Must be available during evenings and weekends, particularly between 6:00 p.m. and 9:00 p.m. ET, along with weekend office hours

  • Access information using a computer.

  • Effectively communicate, both up and down the management chain.

  • Effectively cope with stressful situations.

  • Good attendance.

  • Strong organizational and time management skills.

  • Strong mental acuity.

  • Must be able to lift 25 lbs.

Work Location Details:

Many of our positions, including this role, are designed to be remote "home office" settings.

Employees working out of a home office are responsible for providing appropriate and safe office space, office furniture and organization, communication tools, and related items. These include:

  • Arranging for high-speed internet connection, printer and a dedicated phone line for business use. Specifics regarding expense coverage and reimbursement vary based on individual position categories. The University will not provide office equipment or on-site set up assistance.

  • The environment must be free from distractions and enable a highly productive and professional work environment.

  • As with on-site positions, our off-site positions require that the majority of the time will be spent using a telephone, PC and monitors.

  • There are minimal lifting requirements unless otherwise noted.

Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position.

$19.00 is the expected starting pay for this position. This offer is based on current budgetary guidelines and additional factors outlined below.


SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.

Careers - Our Benefits, Strategic Education, Inc


SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.

$18.25 - $27.75 - Hourly


If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.


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