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Remote Computer Vision Engineer Jobs in Ohio (NOW HIRING)

Innomotics

CAD Automation Engineer

Norwood, OH · On-site +1

$60K - $155K/yr

Position is held in Norwood, Ohio with a hybrid office/remote schedule. Travel is rare but may be ... Medical, dental, prescription and vision coverage, first day of employment * Matching 401(k) ...

Tetra Tech

Civil CAD Designer II

Cincinnati, OH · On-site +1

$31 - $40/hr

... Engineering team. This opportunity is remote position. Why Tetra Tech: At Tetra Tech, we are ... Requires use of hands for typing, handling materials, and operating office equipment; vision ...

Mile Two LLC

Chief Technology Officer

Dayton, OH · On-site +1

... computer vision, and autonomous systems in the context of DoW use cases. * Maintain sufficient technical depth and credibility to review architectures, guide technical tradeoffs, mentor engineering ...

GARGI TECHNOLOGIES INC

Software Engineer

Ohio City, OH · On-site +1

Bachelor's degree in Computer Science, Software Engineering, or related field. * Experience with ... Health, dental, and vision insurance. * Paid time off and company holidays. * Flexible work ...

Epsilon Systems Solutions

$113K - $155K/yr

Hybrid and remote work available. Duties and Responsibilities: * Maintain and enhance existing ... Bachelor of Science degree in engineering, computer science, or information technology. * 5 - 10 ...

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Remote Computer Vision Engineer information

See Ohio salary details

$46.1K

$115.5K

$130.7K

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

As of Jun 5, 2026, the average yearly pay for remote computer vision engineer in Ohio is $115,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $125,000.00 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.
More about Remote Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Ohio? The most popular types of Computer Vision Engineer jobs in Ohio are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Ohio? For Remote Computer Vision Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Ohio look for? The top searched job categories for Remote Computer Vision Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Computer Vision Engineer jobs? Cities in Ohio with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Ohio as of May 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $115,524 per year, or $55.5 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 14 days ago

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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