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Remote Image Processing Engineer Jobs (NOW HIRING)

... processing, algorithm development, image exploitation, and applied remote sensing science. This ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Windchill Engineer

$130K - $160K/yr

To learn more about the security clearance process please access this link . Accelint is a mission ... The Windchill Engineer is responsible for designing, developing, implementing, testing, and ...

Windchill Engineer (SIE)

$130K - $160K/yr

To learn more about the security clearance process please access this link . Accelint is a mission ... The Windchill Engineer is responsible for designing, developing, implementing, testing, and ...

Windchill Engineer

$130K - $160K/yr

To learn more about the security clearance process please access this link. Additionally, travel ... Remote (United States)

$109K - $191K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Processing Research and Development Engineer to join the Acoustic Data Science Department at the ...

Windchill Engineer (SIE)

$130K - $160K/yr

To learn more about the security clearance process please access this link. Additionally, travel ... Remote (United States)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are looking for a highly motivated Signal Processing Engineer to join the ...

... processing, algorithm development, image exploitation, and applied remote sensing science. This ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

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Remote Image Processing Engineer information

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$5

$62

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How much do remote image processing engineer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote image processing engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What is the difference between Remote Image Processing Engineer vs Remote Computer Vision Engineer?

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

What are Remote Image Processing Engineers?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

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

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a Remote Image Processing Engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.
More about Remote Image Processing Engineer jobs
What cities are hiring for Remote Image Processing Engineer jobs? Cities with the most Remote Image Processing Engineer job openings:
What are the most commonly searched types of Image Processing Engineer jobs? The most popular types of Image Processing Engineer jobs are:
What states have the most Remote Image Processing Engineer jobs? States with the most job openings for Remote Image Processing Engineer jobs include:
What job categories do people searching Remote Image Processing Engineer jobs look for? The top searched job categories for Remote Image Processing Engineer jobs are:
Infographic showing various Remote Image Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.
Remote Sensing Image Scientist/Physicist/Engineer

Remote Sensing Image Scientist/Physicist/Engineer

Arcfield

King Of Prussia, PA • On-site, Remote

Full-time

Posted 25 days ago


Job description

Responsibilities
Candidate should have technical experience in image analysis of remote sensing systems data (PAN, IR, MSI, HSI, LIDAR, RADAR, etc.). Examples of relevant experience include radiometric or thermometric analysis, sensor/atmospheric calibration, MTF and SNR assessments, exploitation algorithm development, signal/image processing, modeling and simulation, and Fourier analysis.
Candidate must possess familiarity with image processing and software tools such as ENVI/IDL, MATLAB, or Python. Other beneficial skills could include experience with atmospheric radiative transfer models (e. g. MODTRAN), XML data handling, image product formats (NITF, JPEG, etc.), AI/ML tools and "big data" analysis techniques.
Responsibilities:
  • Perform studies and analysis to characterize and improve the quality of remote sensing data
  • Coordinate calibration planning by leading weekly payload calibration meetings, generate calibration handbooks, master schedules, data dissemination CONOPS, readiness plans, success criteria, and readiness review execution plans
  • Manage collaborative sites for calibration activities; create, populate, and maintain data repositories to allow distributed teams to access required data and collaborate on execution
  • Deliver and publish radiometric data, sensor characterization reports, and calibration task out briefs
  • Fully analyze and report findings of calibration truth data, characterize and report accuracy
  • Maintain and update scripts, processes and data required for calibration assessment and monitoring
  • Conduct analysis to validate test and transition of capabilities
  • Coordinate with external stakeholders to develop future capabilities, requirements updates and planning
  • Monitor and assess enterprise product and data integrity
  • Lead independent enterprise investigations of anomalous product quality performance and produce analysis to expedite problem identification and resolution

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI Clearance with Poly.
  • Bachelor's degree with 10-12 years of relevant experience, Master's degree with 8-10 years, or PhD with 5-7 years in Image Science, Optics, Applied Physics, Mathematics, or Engineering
  • Demonstrated ability to perform technical analysis of EO remote sensing data; image processing and digital signal processing experience; image chain analysis
  • Excellent presentation and communication skills; demonstrated ability to clearly explain technical issues to technical and non-technical audiences
  • Demonstrated ability and success working independently and in team environments
  • Customer focused and capable of representing the customer in user outreach, familiarity activities and community forums
  • Experience developing/modifying engineering code in at least one of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results

Desired:
  • Bachelor's degree in Image Science, Optics, Applied Physics, Mathematics, or Engineering with 15 or more years of relevant experience, or master's degree with comparable experience
  • Project management or leadership experience
  • Experience working on product initialization teams
  • Experience with one or more of PAN, IR, MSI, HSI, LIDAR, or RADAR systems and analysis
  • Experience developing/modifying engineering code in multiple of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results

EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.