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Commission Remote Computer Vision Engineer Jobs Near Me

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

They are seeking a Computer Vision Engineer to develop and implement digital technology solutions that improve manufacturing efficiency and quality. Responsibilities : • Engaging with NA regional ...

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Commission Remote Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

How much do commission remote computer vision engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for commission remote 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 cities are hiring for Commission Remote Computer Vision Engineer jobs? Cities with the most Commission Remote Computer Vision Engineer job openings:
What states have the most Commission Remote Computer Vision Engineer jobs? States with the most job openings for Commission Remote Computer Vision Engineer jobs include:
What are the most commonly searched types of Remote Computer Vision Engineer jobs? The most popular types of Remote Computer Vision Engineer jobs are:
A map of the United States highlighting the number of Commission Remote Computer Vision Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Commission Remote Computer Vision Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Computer Vision Engineer

Computer Vision Engineer

Zobility

Raymond, OH • On-site

$108K - $127K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
Zobility is a workforce management and staffing division of RGBSI, a multi-national corporation. They are seeking a Computer Vision Engineer to develop and implement digital technology solutions that improve manufacturing efficiency and quality.
Responsibilities:
• Engaging with NA regional plant floor customers to identify opportunities to develop and test technology/concepts and prove the ability to deliver reliable value to our customer.
• Development of new digital technology solutions such as vision inspection systems, AI and M/L analysis of machine/sensor data.
• Analyze user/customer needs along with manufacturing problems and align them with product/technology opportunities.
• Contribute to and execution of IoT strategy and roadmap for selected areas.
• Monitor developments of new technologies for IoT potential in future projects.
• Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects.
Qualifications:
Required:
• Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality.
• Knowledge of manufacturing equipment controls and logic; preferably in at least one of Mitsubishi, Rockwell, Siemens, or Omron PLCs.
• Understanding of computer vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques.
• Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning.
• Experience with vibration, audio, or current signature analysis.
• Minimum Experience: 2+ years experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry.
• Bachelor's degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience.
Company:
Zobility is a talent management and workforce solutions company that provides staffing and technical workforce services. Founded in , the company is headquartered in Troy, USA, with a team of 201-500 employees. The company is currently Growth Stage.