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Remote Corrections Jobs in Washington, DC (NOW HIRING)

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116.35K - $210.33K/yr

... correction. * Build and maintain spectral libraries and support signature analysis, endmember extraction, and spectral matching. * Integrate hyperspectral analytics with other GEOINT, remote sensing ...

Leidos

Senior Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92.30K - $166.85K/yr

... correction. * Build and maintain spectral libraries and support signature analysis, endmember extraction, and spectral matching. * Integrate hyperspectral analytics with other GEOINT, remote sensing ...

Alpha Omega Integration

Public Health Analyst

Vienna, VA · Remote

$57K - $60K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... Document problems and proposed corrections before finalizing data set. * Review the quality of ...

CareClix

Account Executive Copy

Alexandria, VA · Remote

... plans) Corrections Facilities (across the United States and globally) Insurance Companies ... Fully Remote Benefits: Flexible schedule, Professional development assistance, Other Paid Training:

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Remote Corrections information

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

To thrive as a Remote Corrections Officer, you need a background in criminal justice or corrections, knowledge of relevant laws, and often state certification or training. Familiarity with video monitoring systems, electronic offender management platforms, and secure communication tools is typically required. Strong attention to detail, effective communication, and sound judgment are critical soft skills for managing remote supervision and responding to incidents. These skills and qualifications are essential to ensure the safety, compliance, and rehabilitation of individuals under remote supervision while maintaining public trust.

What are some common challenges faced when working in a remote corrections role, and how can they be addressed?

One of the main challenges in a remote corrections role is maintaining effective communication and oversight of inmates without being physically present, which can make it harder to recognize behavioral issues or potential safety concerns. It’s essential to leverage technology, such as secure video conferencing and electronic monitoring systems, to bridge this gap. Building strong relationships with on-site staff and participating in regular virtual team meetings can also help ensure that all incidents are reported and managed promptly. Additionally, staying updated on remote corrections protocols and participating in ongoing training can help address evolving challenges and maintain a safe, compliant work environment.

What are remote corrections jobs?

Remote corrections jobs involve performing tasks related to the supervision, monitoring, and support of offenders or inmates from a remote location, often using technology such as video conferencing, electronic monitoring systems, and case management software. These positions may include remote probation officers, parole officers, or support staff who handle documentation, check-ins, and rehabilitation planning. The goal is to maintain public safety and support rehabilitation while leveraging technology to allow staff to work outside traditional correctional facilities.
What are popular job titles related to Remote Corrections jobs in Washington, DC? For Remote Corrections jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Corrections jobs in Washington, DC look for? The top searched job categories for Remote Corrections jobs in Washington, DC are:
Remote Corrections jobs near you
Infographic showing various Remote Corrections job openings in Washington, DC as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 21% Physical, 4% Hybrid, and 75% Remote job distribution.

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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