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Remote Monitoring Jobs in Virginia (NOW HIRING)

Licensed Practical Nurse (US)

Richmond, VA · Remote

$25.50 - $34.75/hr

We're looking for a Licensed Practical Nurse (LPN) focused on remote patient monitoring and hospital avoidance. This role requires an organized professional to monitor patient data, conduct timely ...

Licensed Practical Nurse (US)

Newport News, VA · Remote

$23.50 - $31.75/hr

We're looking for a Licensed Practical Nurse (LPN) focused on remote patient monitoring and hospital avoidance. This role requires an organized professional to monitor patient data, conduct timely ...

Licensed Practical Nurse (US)

Roanoke, VA · Remote

$25.25 - $34.25/hr

We're looking for a Licensed Practical Nurse (LPN) focused on remote patient monitoring and hospital avoidance. This role requires an organized professional to monitor patient data, conduct timely ...

Licensed Practical Nurse (US)

Alexandria, VA · Remote

$27.50 - $37.25/hr

We're looking for a Licensed Practical Nurse (LPN) focused on remote patient monitoring and hospital avoidance. This role requires an organized professional to monitor patient data, conduct timely ...

Licensed Practical Nurse (US)

Alexandria, VA · Remote

$27.50 - $37.50/hr

We're looking for a Licensed Practical Nurse (LPN) focused on remote patient monitoring and hospital avoidance. This role requires an organized professional to monitor patient data, conduct timely ...

Prior experience using Remote Monitoring and Management (RMM) tools (i.e. - Automate, Labtech, Continuum, NinjaOne, etc.) * Ability to provide exceptional customer service in all situations * Possess ...

Helpdesk Technician I

Reston, VA · Remote

$20.75 - $28/hr

Prior experience using Remote Monitoring and Management (RMM) tools (i.e. - Automate, Labtech, Continuum, NinjaOne, etc.)   * Ability to provide exceptional customer service in all situations 

Virginia SLP Remote

Richmond, VA · Remote

$39 - $52.50/hr

Remote Speech-Language Pathologist (SLP) - Virginia (1099 Contractor) Position: Remote Speech ... Conduct assessments, evaluations, and progress monitoring * Develop and implement individualized ...

New

Remote Claims Processor Schedule: Flexible shifts between 6:00 AM - 10:30 PM (based on business ... Monitor team chats and adjust workflow based on team needs * Complete assigned tasks and meet ...

This position is 100% remote. The Google Administrator ensures the secure, reliable, and efficient ... Monitor system health, performance, and usage metrics using administrative dashboards and reporting ...

This position is 100% remote. The Google Administrator ensures the secure, reliable, and efficient ... Monitor system health, performance, and usage metrics using administrative dashboards and reporting ...

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Showing results 1-20

Remote Monitoring information

What is a Remote Monitoring job?

A Remote Monitoring job involves overseeing systems, devices, or processes from a remote location using specialized software and tools. This role is common in industries like healthcare, IT, security, and industrial operations, where continuous monitoring is required to ensure efficiency, security, and performance. Responsibilities may include analyzing data, identifying issues, troubleshooting problems, and taking necessary actions without being physically present.

What are the key skills and qualifications needed to thrive in the Remote Monitoring position, and why are they important?

Excelling in a Remote Monitoring role requires a strong attention to detail, analytical thinking, and expertise in data interpretation, often supported by experience or education in IT, engineering, or a related technical field. Familiarity with remote monitoring software, IoT platforms, alarm management systems, and sometimes certifications like CompTIA Network+ or vendor-specific credentials are common technical requirements. Strong communication, problem-solving, and the ability to remain calm under pressure are important soft skills for success. These abilities ensure timely detection and response to issues, optimize system performance, and maintain safety and operational continuity.

What are the typical daily responsibilities in a Remote Monitoring role?

In a Remote Monitoring position, your daily tasks usually involve overseeing system dashboards, analyzing alerts or data feeds, and responding to incidents as they arise. You may also be responsible for generating routine reports, documenting anomalies, and coordinating with on-site teams or technical support staff to resolve issues. Many roles require maintaining clear communication channels with stakeholders and following established protocols to ensure minimal downtime or disruption. This work is critical for businesses that depend on uninterrupted system performance, such as in IT infrastructure, facilities management, or industrial operations.

How to make $1000 a week remotely?

Remote monitoring jobs often pay hourly rates that can add up to $1,000 or more per week, especially with specialized skills or certifications. To achieve this, professionals typically work full-time hours, develop expertise in relevant tools or systems, and may take on multiple clients or projects simultaneously. Building experience and efficiency can help increase earning potential in remote monitoring roles.
What are the most commonly searched types of Monitoring jobs in Virginia? The most popular types of Monitoring jobs in Virginia are:
What are popular job titles related to Remote Monitoring jobs in Virginia? For Remote Monitoring jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Monitoring jobs? Cities in Virginia with the most Remote Monitoring job openings:
Infographic showing various Remote Monitoring job openings in Virginia as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 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.