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Remote Computer Vision Engineer Jobs in Columbus, OH

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Remote Computer Vision Engineer information

See Columbus, OH salary details

$46.8K

$117.4K

$132.8K

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

As of Jun 18, 2026, the average yearly pay for remote computer vision engineer in Columbus, OH is $117,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Columbus, OH? The most popular types of Computer Vision Engineer jobs in Columbus, OH are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Columbus, OH? For Remote Computer Vision Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Computer Vision Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Computer Vision Engineer jobs? Cities near Columbus, OH with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Vision Inspection & IoT Solutions Engineer

Vision Inspection & IoT Solutions Engineer

OSI Engineering, Inc.

Raymond, OH • On-site

Other

Posted 29 days ago

Job description

The Digital Innovation Division within the Digital Manufacturing Unit is looking for a Vision Inspection / loT Solution Engineer for a Global Automotive Company in Raymond, OH. This role requires 5 days onsite.
The engineer will work closely with vision professionals to implement, configure, and support machine vision systems used in vehicle manufacturing. This role combines hands-on work on the plant floor with technical configuration, automation integration, and programming.
Key Responsibilities

  • Support the implementation and maintenance of vision inspection systems across manufacturing plants.
  • Assist with smart camera setup, configuration, and calibration.
  • Adjust and optimize cameras, lighting, and automation triggers used in inspection systems.
  • Connect cameras to PLCs and plant automation systems, enabling communication between inspection systems and manufacturing equipment.
  • Support operational technology (OT) systems including automation, networking, and industrial controls.
  • Assist in developing and deploying digital manufacturing and smart factory solutions.
  • Work closely with engineers and plant teams to test, deploy, and maintain new vision and IoT technologies.
  • Perform both:
    • Hands-on work on the production floor (camera setup, hardware adjustments)
    • Computer-based work (configuration, programming, system monitoring).

Qualifications

  • 2+ years of experience in manufacturing, automation, controls engineering, machine vision, or industrial systems.
  • Bachelor’s degree in Engineering or related field (Electrical, Controls, Systems, Computer Science, Data Science, or similar) highly preferred.
  • Experience implementing vision solutions in Python.
  • Experience with predictive analytics: vibration, audio, or current signature analysis.
  • Proficiency with computer vision algorithms: segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D vision, and deep learning.


Bonus Skillset:

  • Experience with machine vision systems or inspection technologies.
  • Familiarity with industrial PLC platforms (Mitsubishi, Rockwell, Siemens, or Omron).
  • Exposure to computer vision or image processing techniques.
  • Experience implementing vision solutions using platforms such as Cognex, Keyence, HALCON, or similar systems.
  • Experience working with machine data, sensors, or industrial IoT solutions.


Details:

  • 5 days onsite
  • 12-month contract to start
  • Potential for conversion to full-time based on performance

Apply