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Remote Image Processing Scientist Jobs (NOW HIRING)

Analyze and develop processes to support the exploitation of unique, anomalous, and difficult ... Interpretation of image-based data * Experience with ENVI, ArcGIS, and/or similar software tools

... image processing and analysis workflows * Support publication of imaging analysis results and scientific outputs * Contribute to innovation initiatives and business development efforts * Read ...

Clinical Scientist

Palo Alto, CA · On-site +1

$134K - $155K/yr

Clinical Scientist Location:Palo Alto, CA As a Clinical Scientist, you will support the Clinical ... Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ...

... image processing and analysis workflows * Support publication of imaging analysis results and scientific outputs * Contribute to innovation initiatives and business development efforts * Read ...

Competency with image processing software, such as but not limited to ENVI/IDL, ERDAS Imagine ... and the remote sensing science community * Superior written and oral communication skills ...

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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 Aug 17, 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 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.

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 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 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.

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:

What are the most commonly searched types of Image Processing Scientist jobs?

The most popular types of Image Processing Scientist jobs are:

What states have the most Remote Image Processing Scientist jobs?

States with the most job openings for Remote Image Processing Scientist jobs include:

Infographic showing various Remote Image Processing Scientist job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 76% Full Time, 10% Part Time, and 10% Contract. Highlights an 2% In-person, 2% Hybrid, and 96% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Remote Sensing Scientist

Radiance Technologies

Beavercreek, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.

Job Duties

  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:

  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:

  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.