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Remote Image Processing Scientist Jobs (NOW HIRING)

PaxeraHealth

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data ... S. in Computer Science or related field. An M.S. or Ph.D. is a plus Powered by JazzHR QqWflux9B8

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ... Experience with image processing and/or digital signal processing tools that process short and mid ...

Muon Space

Senior Applied Scientist, Geospatial

$123K - $176K/yr

Demonstrated proficiency in programming (e.g., Python, MATLAB, Julia) for advanced image processing ... Experience with experimental AI/ML frameworks applied to remote sensing datasets. * Familiarity ...

Cleerly, LLC

Sr. ML Scientist

Boston, MA · On-site +1

While we are mostly a remote company, travel is required for some team meetings and cross function ... Research experience in applying ML and deep learning techniques to medical image processing ...

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Remote Image Processing Scientist information

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$83.5K

$127K

$171K

How much do remote image processing scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote image processing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Image Processing Scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

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

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

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

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is a Remote Image Processing Scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.
More about Remote Image Processing Scientist jobs
What cities are hiring for Remote Image Processing Scientist jobs? Cities with the most Remote Image Processing Scientist job openings:
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Remote Image Processing Scientist jobs near you
Infographic showing various Remote Image Processing Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 40% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 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 21 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.

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