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Remote Machine Vision Engineer Jobs in Columbus, OH

Vision Inspection Machine Technician

Jeffersonville, OH · On-site

$18.75 - $24.25/hr

Be responsible to handle programming software, gather images and have foundational understanding of ... Machine Vision Technician in a manufacturing or automotive engineering environment through an ...

Automation Engineer

Lancaster, OH · On-site

$95K - $100K/yr

Title: Automation Engineer Comp: $95,000-$100,000 Location: Lancaster, OH Our client is seeking ... machine vision systems Support and improve production performance through cycle time reduction ...

Controls Engineer

Circleville, OH · Hybrid

$70K - $100K/yr

Junior Controls Engineer The Controls Engineer designs, programs, and commissions industrial ... Apply Cognex vision readers and related machine vision tools in product identification and ...

Weld Engineer

Lancaster, OH · On-site

$95K - $105K/yr

Weld Engineer Comp: $95,000-$105,000 Location: Lancaster, OH Our client is seeking immediate ... machine vision data to improve weld quality, process stability, and production performance Lead ...

Robotic programming and troubleshooting (ABB, Fanuc, Yaskawa preferred ... Machine vision systems (e.g., Keyence) * Knowledge of electrical, mechanical, and control systems ...

Robotic programming and troubleshooting (ABB, Fanuc, Yaskawa preferred ... Machine vision systems (e.g., Keyence) * Knowledge of electrical, mechanical, and control systems ...

Why Join Us | DuPont Careers Senior Automation & Controls Engineer Make an Impact Through ... Experience with machine vision systems (Cognex, Keyence, etc.) * Experience integrating automation ...

Welding Engineer

Columbus, OH · On-site

$33.50 - $46/hr

Welding Engineer Columbus, OH $90,000-$100,000, plus paid OT Required Knowledge, Skills and ... with machine vision systems for weld inspection • Experience maintaining and optimizing in ...

Bachelor'sor Master's Degree in Mechanical or Electrical Engineering with coursework concentration involving machine vision and automated inspection. * Able to travel to manufacturing sites (average ...

Bachelor'sor Master's Degree in Mechanical or Electrical Engineering with coursework concentration involving machine vision and automated inspection. * Able to travel to manufacturing sites (average ...

Weld Engineer

Lancaster, OH

$32.75 - $45/hr

Bachelor's degree in Weld Engineering or equivalent experience ... Experience with machine vision systems for weld inspection * Experience maintaining and optimizing ...

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Remote Machine Vision Engineer information

See Columbus, OH salary details

$30.4K

$124.4K

$186.9K

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

As of Jun 17, 2026, the average yearly pay for remote machine vision engineer in Columbus, OH is $124,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are popular job titles related to Remote Machine Vision Engineer jobs in Columbus, OH? For Remote Machine Vision Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Machine Vision Engineer jobs in Columbus, OH are:
Vision Inspection & IoT Solutions Engineer

Vision Inspection & IoT Solutions Engineer

OSI Engineering, Inc.

Raymond, OH

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