ZipRecruiter

Log In

2

Part Time Computer Vision Engineer Jobs (NOW HIRING)

Visual Sound

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

Visual Sound

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

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsPart Time Computer Vision Engineer Jobs

Part Time Computer Vision Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of Jul 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 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.

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

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 part-time computer vision engineers?

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 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.
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 job categories do people searching Part Time Computer Vision Engineer jobs look for? The top searched job categories for Part Time Computer Vision Engineer jobs are:
Part Time Computer Vision Engineer jobs near you
Infographic showing various Part Time Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computer Vision & 3D Asset Reconstruction Student Employee

Computer Vision & 3D Asset Reconstruction Student Employee

Electric Power Research Institute, Inc.

Charlotte, NC • On-site

$31 - $36/hr

Part-time

Medical, Retirement, PTO

Posted 1 hour ago

Job description

Job Title:Computer Vision & 3D Asset Reconstruction Student EmployeeLocation:Charlotte, NCJob Summary and Description:

The Student Will Support the Following Activities:

  • Design and develop an automated indoor imaging/scanning rig

  • Implement photogrammetry and/orStructure-from-Motion(SfM) techniques for 3D reconstruction

  • Support image acquisition, camera calibration, and generation of 3D models from collected data.

  • Document findings and present results.

Qualifications:

  • Strong programming skills in Python; C++ is a plus.

  • Foundational understanding of computer vision, image processing, and AI/ML concepts.

  • Familiarity with image processing tools and libraries such as OpenCV.

  • Coursework or project experience working with 3D data (e.g., point clouds, meshes, or digital models).

  • Basic understanding of camera systems, image acquisition, and camera calibration concepts.

  • Strong documentation skills including experiment logs, technical reports, and maintainable code practices.

  • Motivated to learn new tools and techniques in computer vision, imaging systems, and robotics.

Ideal Candidate:

  • Currently pursuing a Master's, or Ph.D. degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, Mechanical Engineering, Mechatronics, or a related technical field.

  • Hands-on experience with photogrammetry,Structure-from-Motion(SfM), Multi-View Stereo (MVS), or related 3D reconstruction methods.

  • Familiarity with PyTorch, TensorFlow, OpenCV, or related computer vision frameworks.

  • Experience manipulating point cloud data using Open3D, PCL, CloudCompare, or similar tools.

  • Experience with embedded systems and hardware platforms such as Arduino, Raspberry Pi, Jetson, or microcontrollers.

  • Experience integrating sensors such as RGB cameras, depth cameras, LiDAR, or IMUs.

  • Basic math background in linear algebra, geometry, camera models, and 3D transformations.

  • Basic understanding of automation systems involving motors, actuators, or control systems.

Additional Skill Experience:

  • Hands-on experience designing or building imaging systems, scanning systems, or experimental test setups.

  • Experience with Jetson or edge computing platforms for vision applications.

  • Experience with 3D model generation, mesh optimization, and digital twin development.

  • Previous research publications and/or a strong academic project portfolio.

  • Interest in robotics, computer vision, digital twins, and applied AI research.

The hourly rate range for Student positions are:

  • Undergraduate: $16-29 per hour

  • Masters: $27-33 per hour

  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.

As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.

For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.

EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.

EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled

Together . . . Shaping the Future of Energy.

www.epri.com

Apply