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Remote Remote Sensing Scientist Jobs (NOW HIRING)

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Position Overview Riverside Research is seeking a full-time Remote Sensing Scientist in support of the National Air and Space Intelligence Center (NASIC) at Wright Patterson AFB, OH. You will be ...

Courseadvisor

Remote Sensing Technicians

Manhattan, NY · Remote

$29.83K/yr

Occupation Description Apply remote sensing technologies to assist scientists in areas such as natural resources, urban planning, or homeland security. May prepare flight plans or sensor ...

Mercor

Geospatial Scientist - Remote Sensing

New York, NY · Remote

$64 - $75/hr

Advanced domain expertise in geospatial science . * Experience with remote sensing methodologies and GIS analysis . * Background at organizations like USGS , NASA , NOAA , or a defense/intelligence ...

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How much do remote remote sensing scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for remote remote sensing 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 the key skills and qualifications needed to thrive as a Remote Sensing Scientist, and why are they important?

To thrive as a Remote Sensing Scientist, you need expertise in geospatial analysis, image processing, and a strong background in earth sciences or related fields, often supported by an advanced degree. Proficiency in remote sensing software (such as ENVI or ERDAS IMAGINE), geographic information systems (GIS), and programming languages like Python or R is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for accurately analyzing satellite or aerial data and producing actionable insights for environmental monitoring, resource management, or research purposes.

How does a Remote Sensing Scientist typically collaborate with interdisciplinary teams while working remotely?

As a Remote Sensing Scientist working remotely, you’ll frequently collaborate with experts in fields such as GIS, data analytics, ecology, and engineering. Team communication often takes place through virtual meetings, shared cloud platforms, and collaborative coding or data analysis tools. Strong communication skills are essential to convey technical findings and ensure data integration aligns with project goals. You'll also participate in regular project updates and cross-functional brainstorming sessions to address challenges and share insights.

What is a Remote Sensing Scientist?

A Remote Sensing Scientist is a professional who uses satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply scientific and mathematical principles to process and analyze data collected remotely, often for purposes such as environmental monitoring, natural resource management, or urban planning. Remote Sensing Scientists often work with geographic information systems (GIS) and use specialized software to interpret imagery, detect changes over time, and generate actionable insights. Many positions in this field can be performed remotely, allowing scientists to collaborate with international teams and access global data sources.

What is the difference between Remote Remote Sensing Scientist vs Remote GIS Analyst?

AspectRemote Remote Sensing Scientist
CredentialsBachelor's or Master's in Remote Sensing, Geography, or related fields; GIS certifications beneficial
Work EnvironmentPrimarily office or field-based, utilizing satellite and aerial imagery analysis remotely
Employer & IndustryResearch institutions, environmental agencies, and private companies focusing on earth observation
Comparison Search IntentUnderstanding roles involving satellite data analysis and environmental monitoring

Remote Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, often requiring specialized remote sensing skills. Remote GIS Analysts work with geographic information systems to manage spatial data, often involving mapping and spatial analysis. While both roles use GIS tools, remote sensing scientists emphasize satellite data interpretation, whereas GIS analysts focus on spatial data management. Both roles are vital in environmental research, urban planning, and resource management, but their core tasks and data types differ.

More about Remote Remote Sensing Scientist jobs
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Remote Remote Sensing Scientist jobs near you
Infographic showing various Remote Remote Sensing Scientist job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 15% Full Time, 82% Part Time, 1% Temporary, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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