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Remote Computer Jobs in Chantilly, VA (NOW HIRING)

1872 Consulting

Sr. Computer Vision Engineer

Herndon, VA · Remote

$107.50K - $147.60K/yr

Design and implement computer vision solutions that exploit machine learning, statistical learning ... Experience working with remote sensing data, ideally satellite imagery and an understanding of ...

Ace IT Careers

QA Tester (Remote)

Washington, DC · Remote

Bachelor's degree in Computer Science, IT, or related disciplines preferred but not mandatory.Open to fresh graduates and career changers without prior QA experience.Technical Skills:Basic knowledge ...

MNF Global

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent attorneys with ... Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or ...

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent agents with ... Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or ...

HMG Careers

Remote Sales Specialist

Alexandria, VA · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Sales Specialist

Washington, DC · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

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How much do remote computer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote computer in Chantilly, VA is $21.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.89 per hour, depending on experience, location, and employer.

What is a Remote Computer job?

A Remote Computer job typically involves managing, troubleshooting, or operating computer systems from a remote location. This can include IT support, cybersecurity, cloud computing, software development, or network administration. Professionals in these roles use remote access tools to maintain systems, assist users, or develop software solutions. Many companies hire remote computer professionals to reduce overhead costs and access a global talent pool. Strong technical skills, communication abilities, and self-discipline are essential for success in this field.

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

To thrive as a Remote Computer Support Specialist, you need a strong understanding of computer hardware, networking, troubleshooting, and typically a relevant certification such as CompTIA A+ or Microsoft Certified: Modern Desktop Administrator Associate. Familiarity with remote access tools, ticketing systems, and diagnostic software is essential for efficiently resolving technical issues. Excellent communication, patience, and problem-solving abilities help you effectively assist users and manage stressful situations. These skills ensure timely and accurate support, boosting productivity and user satisfaction in a remote work environment.

What are some common challenges faced by professionals working in a remote computer support role, and how can they be addressed?

One common challenge in a remote computer support role is troubleshooting technical issues without physical access to the user's device, which can make problem-solving more complex. Clear communication skills are essential for guiding users through solutions and accurately diagnosing issues remotely. Additionally, working from home may sometimes lead to feelings of isolation, so it's important to stay connected with teammates through regular virtual meetings and collaboration tools. Staying organized and following structured workflows also helps in tracking multiple support tickets efficiently.

What is the difference between Remote Computer vs Remote Network Technician?

AspectRemote ComputerRemote Network Technician
CredentialsCompTIA A+, Microsoft certificationsCompTIA Network+, Cisco CCNA
Work EnvironmentRemote support for individual users and small businessesRemote troubleshooting of network infrastructure and connectivity
Industry UsageIT support, help desk, tech servicesNetwork administration, infrastructure management

Remote Computer roles focus on supporting individual computers and software issues remotely, often requiring certifications like CompTIA A+ and working in help desk environments. Remote Network Technicians specialize in network systems, requiring certifications like Cisco CCNA, and handle network connectivity and infrastructure remotely. While both roles are IT-focused and often work remotely, their technical scope and certifications differ, aligning with their specific responsibilities.

More about Remote Computer jobs
What are the most commonly searched types of Computer jobs in Chantilly, VA? The most popular types of Computer jobs in Chantilly, VA are:
What are popular job titles related to Remote Computer jobs in Chantilly, VA? For Remote Computer jobs in Chantilly, VA, the most frequently searched job titles are:
What job categories do people searching Remote Computer jobs in Chantilly, VA look for? The top searched job categories for Remote Computer jobs in Chantilly, VA are:
What cities near Chantilly, VA are hiring for Remote Computer jobs? Cities near Chantilly, VA with the most Remote Computer job openings:
Remote Computer jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 12 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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