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Remote Intelligence Jobs in Quantico, VA (NOW HIRING)

OR BA/BS degree in Remote Sensing, Cartography, Geography, or related field AND at least 15 years of Intelligence Analysis experience to include 8 years of CURRENT GEOINT Analysis experience ...

OR BA/BS degree in Remote Sensing, Cartography, Geography, or related field AND at least 15 years of Intelligence Analysis experience to include 8 years of CURRENT GEOINT Analysis experience ...

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Remote Intelligence information

See Quantico, VA salary details

$48.2K

$110.8K

$152.5K

How much do remote intelligence jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote intelligence in Quantico, VA is $110,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $125,500.00 per year, depending on experience, location, and employer.

What is remote intelligence?

A Remote Intelligence job involves analyzing, collecting, and interpreting data relevant to national security, business, or other sectors, while working from a location outside a traditional office, often from home or another remote location. These roles often involve tasks like monitoring digital communications, reviewing satellite imagery, or assessing open-source information to provide actionable insights. Remote Intelligence professionals may work for government agencies, private companies, or consulting firms. This job requires strong analytical skills, attention to detail, and often a background in security, technology, or data analysis.

What are the key skills and qualifications needed to thrive as a remote intelligence analyst?

To thrive as a Remote Intelligence Analyst, you need strong analytical abilities, attention to detail, and a background in intelligence studies, international relations, or a related field. Familiarity with intelligence analysis software, data mining tools, and secure communication systems is typically required, along with relevant certifications like Security+ or Certified Intelligence Analyst. Excellent written communication, critical thinking, and discretion are crucial soft skills for interpreting data and sharing insights securely. These skills enable effective remote assessment of complex information, ensuring timely and accurate intelligence support for decision-makers.

How does working in a remote intelligence role typically impact collaboration and communication with team members?

In a Remote Intelligence position, effective collaboration and communication are essential, given that team members often work across different locations and time zones. Most teams rely heavily on secure digital platforms, such as encrypted messaging apps, video conferencing, and collaborative cloud-based tools, to share insights and coordinate tasks. Regular virtual meetings, clear documentation practices, and established communication protocols help ensure everyone stays aligned. Adapting to asynchronous communication and being proactive in sharing updates are key to overcoming the unique challenges posed by remote work in this sensitive field.
What are popular job titles related to Remote Intelligence jobs in Quantico, VA? For Remote Intelligence jobs in Quantico, VA, the most frequently searched job titles are:
What job categories do people searching Remote Intelligence jobs in Quantico, VA look for? The top searched job categories for Remote Intelligence jobs in Quantico, VA are:
What cities near Quantico, VA are hiring for Remote Intelligence jobs? Cities near Quantico, VA with the most Remote Intelligence job openings:

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted 9 days ago


Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.
An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.
Responsibilities
  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Qualifications
Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

Global Comp
$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.