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Remote All Source Intelligence Analyst Jobs in Reston, VA

Sphinx LLC

SCRM Analyst

Springfield, VA · Remote

$95K - $110K/yr

Identify commercial connections to foreign threats to all missions and systems of the NSG ... Creating Analytical products, Intelligence Information Reports, Source-Directed Requirements ...

Sphinx LLC

Counterintelligence Officer

Springfield, VA · Remote

$95K - $155K/yr

... analyses for distribution to selected parties within Customer, the DoD, and the Intelligence Community. - Assimilate, evaluate and interpret all-source information related to the Customer from an ...

American Oversight

Investigator

Washington, DC · Remote

$62K - $78K/yr

The Investigator will use public records and open-source intelligence to pursue rigorous, high ... Remote-first work environment * Medical, dental and vision insurance * Generous paid time off

American Oversight

Investigator

Washington, DC · On-site +1

$62K - $78K/yr

The Investigator will use public records and open-source intelligence to pursue rigorous, high ... Remote-first work environment * Medical, dental and vision insurance * Generous paid time off

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117.20K - $140.80K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... Analyze source data formats & work with Data Scientists & partners to determine the formats ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118.30K - $142.10K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... Analyze source data formats & work with Data Scientists & partners to determine the formats ...

Tek Inspirations LLC

Senior Data Analyst

Washington, DC · Remote

$97.40K - $122.80K/yr

Washington, DC/Local Remote (candidates must be local to Washington, DC) Duration: 6+ months Need ... Knowledge and experience using business intelligence applications and reporting technologies ...

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All JobsRemote All Source Intelligence Analyst JobsRemote All Source Intelligence Analyst Jobs in Reston, VA

Remote All Source Intelligence Analyst information

See Reston, VA salary details

$53.1K

$102.6K

$152.4K

How much do remote all source intelligence analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote all source intelligence analyst in Reston, VA is $102,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote All Source Intelligence Analyst, and why are they important?

To excel as a Remote All Source Intelligence Analyst, you need a strong background in intelligence analysis, research methodologies, and critical thinking, often supported by a relevant degree and security clearance. Familiarity with intelligence databases, analytical software (such as Palantir or Analyst's Notebook), and secure communication systems is typically required. Keen attention to detail, effective written and verbal communication skills, and the ability to work independently are vital soft skills for this remote role. These abilities ensure accurate, timely intelligence assessments and effective collaboration with dispersed teams to inform decision-making.

How do Remote All Source Intelligence Analysts typically collaborate with on-site teams and other analysts?

Remote All Source Intelligence Analysts often work closely with on-site teams and other analysts through secure digital communication platforms and collaborative software. They participate in virtual briefings, contribute to shared intelligence databases, and may be assigned to cross-functional teams focusing on specific regions or topics. Effective collaboration requires strong communication skills and the ability to adapt to different time zones or work schedules. Regular updates and feedback loops help ensure alignment and maintain the quality of intelligence products.

What is a Remote All Source Intelligence Analyst?

A Remote All Source Intelligence Analyst is a professional who collects, analyzes, and synthesizes information from various intelligence sources—such as human intelligence, signals intelligence, and open-source data—to provide actionable insights for decision-makers. Working remotely, these analysts use digital tools and secure communication platforms to evaluate threats, identify trends, and produce reports without being physically present at a central office or command center. Their work supports national security, military operations, or corporate security, depending on the employer. Strong analytical skills, attention to detail, and familiarity with intelligence-gathering techniques are essential for this role.

What is the difference between Remote All Source Intelligence Analyst vs Remote SIGINT Analyst?

AspectRemote All Source Intelligence AnalystRemote SIGINT Analyst
Required CredentialsBachelor's degree in Intelligence, Security, or related field; security clearance often preferredBachelor's degree in Intelligence, Security, or related field; security clearance often required
Work EnvironmentRemote, collaborative with multiple intelligence disciplinesRemote, specialized focus on signals intelligence data analysis
Employer & Industry UsageGovernment agencies, defense contractors, intelligence firmsMilitary, government agencies, defense contractors
Common Search & ComparisonBroader intelligence analysis roles, multi-source data integrationSignals intelligence, electronic surveillance analysis

The Remote All Source Intelligence Analyst has a broader scope, integrating multiple intelligence sources, while the Remote SIGINT Analyst specializes in signals intelligence data. Both roles often require similar credentials and work in related environments, but SIGINT analysts focus more on electronic signals, whereas all source analysts combine various data types for comprehensive analysis.

What are popular job titles related to Remote All Source Intelligence Analyst jobs in Reston, VA? For Remote All Source Intelligence Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote All Source Intelligence Analyst jobs in Reston, VA look for? The top searched job categories for Remote All Source Intelligence Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote All Source Intelligence Analyst jobs? Cities near Reston, VA with the most Remote All Source Intelligence Analyst job openings:
Remote All Source Intelligence Analyst jobs near you
Infographic showing various Remote All Source Intelligence Analyst job openings in Reston, VA as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,598 per year, or $49.3 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 14 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
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 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.

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