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Part Time Computer Vision Jobs in Smithfield, NC

Stantec

Survey CAD Technician

Raleigh, NC · On-site

Prepares CAD drawings, reviewing, and processing the results of field surveys, and verifying the ... part-time employees (working at least 20 hours per week) have access to medical, dental, and vision ...

Agri Supply Company

Cashier (Part Time)

Garner, NC

$10 - $12/hr

We offer medical, dental, vision, life, accident, cancer coverages as well as Short Term Disability ... Specifically if customer is in computer system to receive special tax rates. * Communicate with ...

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All JobsComputer Vision JobsPart Time Computer Vision JobsPart Time Computer Vision Jobs in Smithfield, NC

Part Time Computer Vision information

See Smithfield, NC salary details

$29K

$41.8K

$55K

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

As of Jul 30, 2026, the average yearly pay for part time computer vision in Smithfield, NC is $41,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $48,100.00 per year, depending on experience, location, and employer.

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 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 are part-time computer vision jobs?

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 are the key skills and qualifications needed to thrive as a Part Time Computer Vision Specialist, and why are they important?

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 are the most commonly searched types of Computer Vision jobs in Smithfield, NC? The most popular types of Computer Vision jobs in Smithfield, NC are:
What are popular job titles related to Part Time Computer Vision jobs in Smithfield, NC? For Part Time Computer Vision jobs in Smithfield, NC, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Vision jobs in Smithfield, NC look for? The top searched job categories for Part Time Computer Vision jobs in Smithfield, NC are:
What cities near Smithfield, NC are hiring for Part Time Computer Vision jobs? Cities near Smithfield, NC with the most Part Time Computer Vision job openings:
Part Time Computer Vision jobs near you

Adjunct Faculty: Computer Science/CIS/Cyber Operations

Shaw University

Raleigh, NC

Part-time

Re-posted 27 days ago

Job description

Job Summary: 

Do you love working in an academic environment? Do you love teaching and mentoring students, helping to shape the future? If so, we have the job for you! Shaw University is looking for Part-Time (Adjunct) Faculty, Computer Science/CIS/Cyber Operations. A grant funded postition. Reporting to the Department Head, School of Business and Professional Studies, the Adjunct Faculty, Computer Science is responsible for teaching a variety of undergraduate courses in Computer Information Systems (CIS), Computer Science (CS), and Cyber Operations (CSC) degree programs.

Essential Job Functions:

  • Teaching all levels of undergraduate Computer Science (CS), Computer Information Systems (CIS), and
     Cyber Operations (CSC) courses (teaching load is up to 9 credit hours per semester)
  •  Maintaining professional scholarship
  •  Advising students, If needed but not required
  •  Effectively manages the classroom environment
  •  Develop, maintains, and submits accurate, timely and complete records (attendance, assignments,
     grades, end of course notebooks, etc.)
  •  Conducting active research
  •  Participation in course and curriculum development, if needed
  •  Serve the College, the University, and the profession and community as appropriate
  •  Discuss matters related to the students in the applicable program.
  • Disseminates information to students relating to internships and job opportunities, research, seminars,
    graduate schools, supporting programs, tutoring, etc.
  • Other duties as assigned by supervisor

Supervisory Responsibilities

None


Minimum Job Qualifications


Education and/or Experience

• Master’s in Computer Science or closely related field required; Ph.D. preferred
• Demonstrated potential for effective teaching and a strong record of scholarly activity in high quality peerreviewed scholarly journals and conferences
• Computer architecture, Artificial Intelligence, Programming, operating systems, and networking
  expertise/networking/Cyber security are preferred.
• Conducting research preferred

Certificates, Licenses or Registrations


Must possess the minimum credential standards of the Southern Association of Colleges and Schools (SACS),
which normally include at least 18 graduate semester credit hours in the subject area or suitable approved
justifications.

Other Competencies

Must have a philosophy that is consistent with the Mission, Vision, and Core Values of the organization. Vision, commitment, and experience in achieving goals and pursuing excellence are critical. Strong oral and written presentation skills. Ability to work well independently and as a member of a team. Excellence in the organization, decision-making, problem-solving, and creating a collaborative environment. Ability to manage multiple projects simultaneously. Must be able to read, write, and speak fluently in English.

Physical Demands


Ability to sit or stand for up to 8 hours/day. Some lifting (up to 25 pounds occasionally), bending, and carrying.
Specific vision abilities include the ability to use close vision. The employee is regularly required to talk and hear,
and to use hands and fingers to handle or feel.

We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, or any other legally protected status.

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