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Remote Sensing Scientist Jobs in Raleigh, NC (NOW HIRING)

US Department of Commerce

Meteorologist

Raleigh, NC · On-site +1

$40.74K/yr

Meteorology, Atmospheric Science, or other natural science major that included: 1. At least 24 ... Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ...

Sennos

Data Engineer

Durham, NC · On-site +1

$103.70K - $124.60K/yr

By owning the entire stack-from sensing hardware to data infrastructure-we have delivered a ... Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent ...

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Remote Sensing Scientist information

See Raleigh, NC salary details

$81.2K

$123.5K

$166.2K

How much do remote sensing scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote sensing scientist in Raleigh, NC is $123,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What Does a Remote Sensing Scientist Do?

Remote sensing scientists analyze data using sensors to solve problems related to local issues like urban planning to global complications like natural resource management. As a remote sensing scientist, your responsibilities include using statistical analysis or image analysis software to analyze data acquired by aircraft, satellites, and other platforms. You monitor atmospheric changes, better understand geospatial information, and even help influence decision making regarding fair and equitable land use. Remote sensing scientists are closely involved in innumerable fields.

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 a strong background in geospatial analysis, image processing, and a relevant degree in fields such as geography, environmental science, or engineering. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools (such as ENVI or ERDAS Imagine), and programming languages (Python, R) is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These competencies are vital for accurately analyzing earth observation data, supporting decision-making, and ensuring the reliability of scientific conclusions.

What are some typical challenges Remote Sensing Scientists face when working with large datasets?

Remote Sensing Scientists often work with massive amounts of satellite or aerial imagery, which can present challenges related to data storage, processing speed, and data quality management. Ensuring the accuracy of image analysis and integrating data from multiple sensor types or platforms can also be complex. To address these issues, scientists frequently rely on high-performance computing, cloud-based platforms, and advanced algorithms for data preprocessing and analysis. Collaborating closely with data engineers and software developers is common to streamline workflow and maintain data integrity.

What are Remote Sensing Scientists?

Remote Sensing Scientists are professionals who use satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply techniques from physics, geography, and computer science to process and analyze remotely sensed images for applications such as environmental monitoring, agriculture, urban planning, and disaster management. Their work often involves using software to manipulate geospatial data and create maps or models that inform decision-making. Remote Sensing Scientists may work in government agencies, research institutions, or private industry, and often collaborate with other scientists and engineers.

How much does remote sensing pay?

Remote sensing scientists typically earn between $60,000 and $110,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with specialized skills in GIS, satellite imagery analysis, or programming can earn higher salaries.

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

AspectRemote Sensing ScientistGIS Analyst
Required CredentialsBachelor's/Master's in Remote Sensing, Geospatial Science, or related fieldsBachelor's/Master's in Geography, GIS, or related fields
Work EnvironmentResearch labs, government agencies, environmental firmsUrban planning, environmental consulting, government agencies
Industry UsageSatellite data analysis, environmental monitoringMapping, spatial data analysis, infrastructure planning
Common Search IntentRemote sensing data interpretation, satellite imagery analysisGIS mapping, spatial data management

While both roles involve geospatial data, Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, whereas GIS Analysts primarily work with geographic information systems to create maps and analyze spatial data for planning and decision-making.

More about Remote Sensing Scientist jobs
What are popular job titles related to Remote Sensing Scientist jobs in Raleigh, NC? For Remote Sensing Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
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What cities near Raleigh, NC are hiring for Remote Sensing Scientist jobs? Cities near Raleigh, NC with the most Remote Sensing Scientist job openings:
Remote Sensing Scientist jobs near you
Remote Decision Scientist & AI Trainer Shape AI Reasoning

Remote Decision Scientist & AI Trainer Shape AI Reasoning

DataAnnotation

Raleigh, NC • Remote

$40/hr

Full-time

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

Job description

A cutting-edge AI development company is seeking experienced quantitative professionals to evaluate AI-generated analytical work. You will solve complex quantitative problems, provide feedback for AI model improvements, and enjoy a flexible schedule with competitive hourly rates starting at $40. The role requires 2+ years of quantitative experience, coding skills, and relevant education in fields like data science, economics, or statistics.

This position is fully remote, available to candidates located in the US and select other countries. #J-18808-Ljbffr

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