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Remote Monitor Jobs in Washington (NOW HIRING)

TRI Challenge Convention

Central Monitor

Bethesda, MD · Remote

$18.25 - $19.50/hr

Creation and ownership of risk-based quality management and centralized monitoring processes, templates, and tools corporately and for applicable clinical trials. Review protocols to ensure the

CrewBloom

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

CrewBloom

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

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How much do remote monitor jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote monitor in Washington is $18.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $19.62 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Monitor, you need a strong background in data analysis, attention to detail, and relevant industry knowledge, often supported by a bachelor’s degree in a science or healthcare-related field. Familiarity with clinical trial management systems (CTMS), electronic data capture (EDC) tools, and possibly certifications like ACRP or SOCRA are typically required. Exceptional organizational skills, proactive communication, and the ability to work independently are vital soft skills. These competencies ensure accurate oversight, regulatory compliance, and efficient remote management of study sites.

What are some common challenges faced by Remote Monitors, and how can they be addressed?

Remote Monitors often face challenges such as coordinating across different time zones, maintaining clear communication with on-site teams, and ensuring data integrity when working remotely. To address these challenges, it's important to establish regular virtual check-ins, utilize collaborative project management tools, and follow strict documentation protocols. Building strong relationships with site staff and staying adaptable to technology updates can also help Remote Monitors succeed in their role.

What are remote monitors?

Remote monitors are professionals who oversee clinical trials or site activities from a distance, typically using digital tools to ensure research compliance, data accuracy, and regulatory standards are met. Unlike traditional monitors who travel to physical locations, remote monitors leverage technology to review documents, conduct virtual meetings, and monitor patient data. Their role is essential for maintaining the integrity of clinical studies while reducing travel and increasing efficiency. Remote monitoring is especially valuable for decentralized or multi-site trials.

What is the difference between Remote Monitor vs Remote Technician?

AspectRemote MonitorRemote Technician
CredentialsTypically requires monitoring certifications, technical knowledgeRequires technical certifications, troubleshooting skills
Work EnvironmentPrimarily office or remote monitoring centersRemote or on-site, depending on role
Industry UsageUsed in security, healthcare, IT monitoringUsed in IT support, network troubleshooting, equipment repair
Job FocusMonitoring systems, alert managementDiagnosing issues, resolving technical problems

Remote Monitors focus on overseeing systems and alert management, often in security or healthcare sectors, while Remote Technicians handle troubleshooting and technical repairs, sometimes on-site. Both roles require technical knowledge but differ in daily tasks and work environment.

What are the most commonly searched types of Monitor jobs in Washington? The most popular types of Monitor jobs in Washington are:
What are popular job titles related to Remote Monitor jobs in Washington? For Remote Monitor jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Monitor jobs in Washington look for? The top searched job categories for Remote Monitor jobs in Washington are:
What cities in Washington are hiring for Remote Monitor jobs? Cities in Washington with the most Remote Monitor job openings:
Remote Monitor jobs near you
Infographic showing various Remote Monitor job openings in Washington as of May 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $37,725 per year, or $18.1 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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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