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Computer Vision Image Processing Jobs (NOW HIRING)

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

We're addressing a variety of technical challenges in the areas of real-time image processing, hand ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

We're addressing a variety of technical challenges in the areas of real-time image processing, hand ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

We're addressing a variety of technical challenges in the areas of real-time image processing, hand ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

We're addressing a variety of technical challenges in the areas of real-time image processing, hand ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

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Computer Vision Image Processing information

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$31

How much do computer vision image processing jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for computer vision image processing in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Computer Vision Image Processing roles, and how can they be addressed?

Professionals in Computer Vision Image Processing often encounter challenges such as dealing with noisy or incomplete data, ensuring real-time performance, and adapting models to work across diverse environments and lighting conditions. Addressing these challenges typically involves using data augmentation techniques, optimizing algorithms for efficiency, and leveraging transfer learning to improve model robustness. Collaboration with cross-functional teams, such as hardware engineers and software developers, is also vital to ensure solutions are both accurate and deployable in real-world applications.

What is the difference between Computer Vision Image Processing vs Image Analysis Specialist?

AspectComputer Vision Image ProcessingImage Analysis Specialist
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; knowledge of programming and algorithmsBachelor's or higher in Data Science, Computer Science, or related fields; expertise in image data interpretation
Work EnvironmentResearch labs, tech companies, manufacturing, healthcareResearch institutions, tech firms, healthcare, security
Industry UsageDeveloping algorithms for object detection, recognition, and image enhancementInterpreting image data for insights, diagnostics, or decision-making

Computer Vision Image Processing focuses on developing algorithms to manipulate and analyze images, while Image Analysis Specialists interpret image data to extract meaningful insights. Both roles require similar educational backgrounds and often work in overlapping industries, but their core objectives differ: processing versus analysis.

What is computer vision image processing?

Computer vision image processing is a field of computer science that focuses on enabling computers to interpret and analyze visual information from the world, such as images and videos. It involves applying algorithms and techniques to process, enhance, and extract meaningful information from digital images. Common applications include object detection, facial recognition, image classification, and medical image analysis. The goal is to automate tasks that the human visual system can perform, making it possible for machines to 'see' and understand visual data.

What are the key skills and qualifications needed to thrive as a Computer Vision Image Processing Specialist, and why are they important?

To thrive as a Computer Vision Image Processing Specialist, you need strong foundations in mathematics, programming (especially Python or C++), and a relevant degree in computer science, engineering, or a related field. Familiarity with technical tools like OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and frameworks are crucial, as are certifications in machine learning or deep learning. Analytical thinking, creativity, and effective problem-solving help individuals excel in developing and optimizing complex visual algorithms. These skills are essential for accurately interpreting visual data, driving innovation, and delivering robust solutions across various industries.
More about Computer Vision Image Processing jobs
What cities are hiring for Computer Vision Image Processing jobs? Cities with the most Computer Vision Image Processing job openings:
Infographic showing various Computer Vision Image Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.
Computer Vision & 3D Asset Reconstruction Student Employee

Computer Vision & 3D Asset Reconstruction Student Employee

Electric Power Research Institute, Inc.

Charlotte, NC

$31 - $36/hr

Part-time

Medical, Retirement, PTO

Re-posted 11 days 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