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Remote Assessment Development Jobs in Virginia (NOW HIRING)

Paragone Solutions, Inc.

CMMC Assessment Lead

Mclean, VA · Remote

This is a remote position with occasional travel required to support customer assessments. Position ... Support development and maintenance of Plans of Action & Milestones (POA&Ms) * Ensure documentation ...

Paragone Solutions, Inc.

CMMC Assessment Lead

Mclean, VA · On-site +1

This is a remote position with occasional travel required to support customer assessments. Position ... Support development and maintenance of Plans of Action & Milestones (POA&Ms) * Ensure documentation ...

Base2 Solutions

Business Development Associate

Alexandria, VA · Remote

$47.50K - $65.10K/yr

Yes Pay Range $75,000.00 - $90,000.00 Work Type Remote Referral Eligibility Eligible Position ... assessments, gate reviews, and internal business development meetings. Coordinate with capture ...

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Remote Assessment Development information

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

To thrive as a Remote Assessment Developer, you need expertise in instructional design, psychometrics, and curriculum development, typically supported by a degree in education or a related field. Familiarity with learning management systems (LMS), assessment authoring tools, and item banking software is often required, along with knowledge of relevant standards like Bloom's Taxonomy. Strong communication, attention to detail, and time management skills help ensure clarity, accuracy, and timely delivery of assessments while collaborating remotely. These skills and qualifications are essential for creating valid, reliable, and effective assessments that meet learning objectives and industry standards.

What are some common challenges faced by professionals in remote assessment development roles, and how can they be addressed?

Professionals in remote assessment development often face challenges such as coordinating with distributed teams, ensuring assessment validity, and maintaining effective communication across different time zones. These can be addressed by leveraging collaborative project management tools, establishing clear guidelines for assessment creation, and scheduling regular virtual check-ins. Additionally, staying updated with best practices in digital assessment design and participating in professional development can help mitigate these challenges and support the delivery of high-quality, fair assessments.

What is Remote Assessment Development?

Remote Assessment Development refers to the process of designing, creating, and evaluating educational or professional assessments that are administered online or from a distance, rather than in a traditional in-person setting. Professionals in this field use digital tools and platforms to develop tests, quizzes, surveys, and other evaluative materials that can be accessed remotely by learners or examinees. This role often involves collaborating with subject matter experts, ensuring assessments meet validity and reliability standards, and integrating technology to enhance accessibility and security. Remote assessment development is increasingly important as more organizations and institutions adopt online learning and remote work models.

What is the difference between Remote Assessment Development vs Remote Assessment Specialist?

AspectRemote Assessment DevelopmentRemote Assessment Specialist
Primary RoleDesigning and creating assessment tools and testsAdministering, scoring, and interpreting assessments
Required SkillsInstructional design, test development, data analysisAssessment administration, candidate evaluation, reporting
Work EnvironmentCollaborative with HR and instructional teams, often remoteRemote or onsite assessment administration, client interaction
CertificationsOften requires certifications in assessment design or psychometricsMay require certifications in testing or HR-related fields

Remote Assessment Development focuses on creating and designing assessment tools, while Remote Assessment Specialists handle the administration and interpretation of these assessments. Both roles often work remotely within HR, education, or corporate sectors, but their core responsibilities differ significantly.

What are popular job titles related to Remote Assessment Development jobs in Virginia? For Remote Assessment Development jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Assessment Development jobs in Virginia look for? The top searched job categories for Remote Assessment Development jobs in Virginia are:
What cities in Virginia are hiring for Remote Assessment Development jobs? Cities in Virginia with the most Remote Assessment Development job openings:
Remote Assessment Development jobs near you

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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