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Remote Image Processing Jobs (NOW HIRING)

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Experience with image processing and digital signal processing tools for short-wave and mid-wave ...

New

Senior Scientist

Dayton, OH · Remote

$85K - $116K/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 ...

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Experience with image processing and digital signal processing tools for short-wave and mid-wave ...

New

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

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Remote Image Processing information

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How much do remote image processing jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for remote image processing 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 remote image processing?

Remote image processing refers to analyzing and manipulating digital images from a distance, typically using cloud-based or networked systems. Professionals in this field use specialized software and algorithms to enhance, interpret, or extract information from images without being physically present at the image acquisition site. This is commonly used in fields like satellite imaging, medical diagnostics, and security surveillance. Working remotely allows image processing experts to collaborate globally and access large datasets stored on remote servers.

What is the difference between Remote Image Processing vs Remote Data Entry?

AspectRemote Image ProcessingRemote Data Entry
Required SkillsImage editing, software proficiency, attention to detailTyping speed, accuracy, basic computer skills
Work EnvironmentDesign software, image platforms, cloud toolsSpreadsheets, databases, online forms
Industry UsagePhotography, media, e-commerceAdministration, research, healthcare

Remote Image Processing involves editing and managing visual content, requiring skills in image software and attention to detail. Remote Data Entry focuses on inputting information accurately into digital systems, emphasizing typing skills and data accuracy. Both roles are performed remotely, often within similar industries, but serve different functions—visual content management versus information management.

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

To thrive as a Remote Image Processing Specialist, you need a strong background in computer vision, image analysis, and programming (often with degrees in computer science, electrical engineering, or related fields). Familiarity with tools like MATLAB, Python libraries (such as OpenCV or scikit-image), and cloud-based image processing platforms is typically required. Attention to detail, problem-solving abilities, and effective remote communication are valuable soft skills in this role. These competencies are crucial for accurately analyzing visual data, automating processes, and collaborating efficiently across distributed teams.

What are the main collaboration tools and practices used by remote image processing teams?

Remote image processing teams typically rely on a combination of cloud-based storage solutions, communication platforms like Slack or Microsoft Teams, and collaborative coding environments such as GitHub or GitLab. These tools enable seamless sharing of large datasets, version control of processing scripts, and real-time feedback on project progress. Regular virtual meetings and clear documentation are also essential to ensure alignment and productivity across distributed team members. Familiarity with these collaboration practices can help new hires integrate smoothly and contribute effectively from day one.
More about Remote Image Processing jobs
What cities are hiring for Remote Image Processing jobs? Cities with the most Remote Image Processing job openings:
What are the most commonly searched types of Image Processing jobs? The most popular types of Image Processing jobs are:
What states have the most Remote Image Processing jobs? States with the most job openings for Remote Image Processing jobs include:
Infographic showing various Remote Image Processing job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

Senior Scientist

GRVTY

Dayton, OH • Remote

$88K - $121K/yr

Other

Posted 2 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a customer facility in Dayton, Ohio.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active TS/SCI clearance with CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.