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Part Time Computer Vision Jobs in Magnolia, NJ (NOW HIRING)

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All JobsComputer Vision JobsPart Time Computer Vision JobsPart Time Computer Vision Jobs in Magnolia, NJ

Part Time Computer Vision information

See Magnolia, NJ salary details

$34.3K

$49.4K

$65K

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

As of Aug 19, 2026, the average yearly pay for part time computer vision in Magnolia, NJ is $49,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $56,800.00 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.

What are the most commonly searched types of Computer Vision jobs in Magnolia, NJ?

The most popular types of Computer Vision jobs in Magnolia, NJ are:

Part Time Computer Vision jobs near you
Infographic showing various Part Time Computer Vision job openings in Magnolia, NJ as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $49,402 per year, or $23.8 per hour.

Computer Technologies, Part-Time Faculty

Community College of Philadelphia

Philadelphia, PA • On-site

Full-time, Part-time

Retirement

Re-posted 12 days ago

Job description

Salary: $2,121.00 Hourly
Location : Main Campus - Philadelphia, PA
Job Type: Part-Time Faculty, Adjuncts
Job Number: 2026-00056
Organization: Computer Technologies
Opening Date: 07/09/2026
FLSA: Exempt
Bargaining Unit: 02
Success starts at Community College of Philadelphia. Innovators and difference makers work at Community College of Philadelphia. Diversity thrives at Community College of Philadelphia. We are a college that is committed to promoting a work environment that attracts and retains talented and diverse faculty and staff. We challenge each other and ourselves to achieve at the highest level while contributing to the mission of the College and the betterment of Philadelphia. We value and support an intellectually dynamic community to prepare our students for global citizenship. Join us and become a part of a community that has long been and will continue to be generators of generational chance in this city and beyond.
Community College of Philadelphia is an open-admission, associate-degree-granting institution which provides access to higher education for all who may benefit. Its programs of study in the liberal arts and sciences, career technologies, and basic academic skills provide a coherent foundation for college transfer, employment and lifelong learning. The College serves Philadelphia by preparing its students to be informed and concerned citizens, active participants in the cultural life of the city, and enabled to meet the changing needs of business, industry and the professions. To help address broad economic, cultural and political concerns in the city and beyond, the College draws together students from a wide range of ages and backgrounds and seeks to provide the programs and support they need to achieve their goals.
Position Summary
The Department of Computer Technologies invites applications for a part-time faculty to teach classes in the areas of Computer Science, Computer Information Systems, Cybersecurity, Web and App Development, and Data Science for the 2026-2027 academic year.
The Computer Technologies Department includes various degrees and certificates in Computer Science, Information Systems, Cybersecurity, and Data Science. The department strives to meet the needs of all students interested in obtaining an education in these areas and is focused on preparing diverse cohorts of IT specialists, software engineers, and computer scientists for successful careers. Many of our students transfer to some of the best computing programs in the Philadelphia area, while others move directly into new jobs or progress in their current career paths.
Essential Responsibilities
  • Applicants will demonstrate an interest in contributing to the future of the Department and the life of the College. The Department seeks applicants actively engaged in teaching and committed to promoting student success within and beyond the classroom.
  • Teach computing courses that may include foundational computer science and programming, cybersecurity, computer hardware, and data science to students with a broad range of career interests.
  • Support community college students further develop their computing skills, professional attitudes and behaviors, for college and workplace success.
  • Facilitate student learning, provide effective instruction, and perform evaluations of student learning for all assigned classes, using each course's standard course outline as a guide.
  • Meet all classes and other scheduled responsibilities such as office hours and meetings at the designated times. Be available to students via email, phone, or personal conferences. The method of contact and hours of availability should be clearly communicated to supervisors and to students through the course syllabus each semester.
  • Become expert in curricula and other course materials, prepare lectures, hands-on activities, and presentations for effective teaching.
  • Assign grades and maintain course and student records in accordance with FERPA regulations and submit grades and records by established deadlines.
  • Proactively identify and address student problems.
  • Maintain and develop curriculum that is consistent with departmental learning objectives. Work with other faculty and administrators in developing program curriculum, standards, and policies, including reviewing and participating in textbook selection process where appropriate.
  • Commitment to participating in the intellectual life of the department and a willingness to participate in the College through leadership in department and college-wide committees. Active participation in industry related professional development activities, meetings, and/or conferences.
  • Commitment to the College's Mission: Demonstrate a sense of connection and responsibility for helping the College to achieve success through a commitment to its mission, vision, and values.
  • External and Internal Community Relations: Actively participate in the academic life of the College; including participation in graduation, recruitment events, general assemblies, student life activities and other cross functional teams. Create learning opportunities for students inside and outside of the classroom including opportunities to teach dual-enrollment high school students.
  • Collaboration: Communicate effectively, share vision, focus on people, initiate positive change, value differences and foster collaboration. Work with and inspire others to achieve college, department, and individual success. Proactively identify/address problems.
  • Respect for Diversity: Establish an inclusive environment in the classroom. Demonstrate an understanding of, and sensitivity to, the diverse academic, socioeconomic, cultural, and ethnic backgrounds of the College's faculty, staff and students.
  • Assessment: Full participation in the assessment of student learning and student learning outcomes at the course, program, and institution levels.
  • Student Success: Strive for excellence in teaching, applying best practices in discipline, and modeling behaviors that encourage student success and retention. Utilize innovative teaching strategies and technologies for online learning and other technology tools to meet the learning needs of a diverse student population. Maintain office hours to meet with students outside of the classroom and respond to questions or concerns.
  • Leadership and Development: Commitment to professional learning and growth, student mentoring, and service to the profession. Remain current in the use of technology, developments within the field of discipline, and developments related to teaching and student success.

Required Qualifications
  • A master's degree in computer science or a closely related field, such as electrical engineering, computer engineering, software engineering, computational science, data science, cybersecurity, or mathematics. Any and all degrees must be from a recognized institutional accreditor.
  • Ability to deliver required, predefined course elements, while drawing from one's own knowledge and experiences, to engage students and make the course their own.
  • Excellent oral, written, and interpersonal communication skills.

Preferred Qualifications
  • At least one year of teaching computer technology at the college level, either as the primary instructor or as a graduate teaching assistant.
  • Experience with at least two of the following programming languages: Python, Java, C/C++, R, or machine code/assembly language.
  • Knowledge and/or willingness to teach distance education and web-enhanced courses.
  • A flexible schedule is desired, i.e. to teach classes in the day and/or evening at the main campus, and/or Regional Centers.
  • Demonstrated experience teaching diverse student populations.
  • Demonstrated experience teaching within a community college.
  • Bilingual or other language proficiency.

If you are required to submit references in your application, please provide your current supervisor and two previous supervisor's contact information.
Please note - CCP will not contact your references until a contingent offer has been made. You will have the opportunity to alert your references and current employer prior to the reference check process beginning.
Thank you for your interest in teaching at the Community College of Philadelphia. CCP offers adjunct faculty access to a range of valuable benefits and resources.
Adjunct faculty benefits include:
  • Participation in 403(b) retirement plan: receive a 5% employer contribution when you contribute 5%
  • Tuition remission opportunities
  • Eligibility for limited medical coverage options, where applicable

For additional details, please visit our
01
Do you have at least a Master's degree in computer science or a closely related field (electrical engineering, computer engineering, software engineering, computer science, data science, cybersecurity, or mathematics)?
  • Yes
  • No

02
Do you have at least one year of experience teaching computer technologies?
  • Yes
  • No

03
Please select the areas that you have familiarity of.
  • Python
  • Java
  • C/C++
  • R
  • Machine code/Assembly language
  • None of the above

04
Do you have experience teaching diverse student populations?
  • Yes
  • No

05
Do you have experience teaching at a community college?
  • Yes
  • No

06
Are you bilingual or have other language proficiency?
  • Yes
  • No

07
Are you available to teach in person or online at various locations?
  • In person
  • Online
  • Main campus
  • Northeast Regional Center

Required Question

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