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Remote Paper Engineer Jobs in Ashburn, VA (NOW HIRING)

ECS FEDERAL LLC

Mechanical Engineer

Fairfax, VA · Remote

$55K - $125K/yr

This is a fully remote position which may require some travel. Duties include providing technical ... Periodically the candidate will be required to write technical papers on the technical risk of ...

SAIC

EO/IR Systems Engineer

Chantilly, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC seeks a senior EO/IR Systems Engineer ... Authoring papers and briefings for internal and external audiences to address organizational ...

SAIC

EO/IR Systems Engineer

Chantilly, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC seeks a senior EO/IR Systems Engineer ... Authoring papers and briefings for internal and external audiences to address organizational ...

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Remote Paper Engineer information

See Ashburn, VA salary details

$38.9K

$118.5K

$195.8K

How much do remote paper engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote paper engineer in Ashburn, VA is $118,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $154,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Paper Engineer, you need a background in mechanical engineering or material science, with expertise in paper properties, structural design, and manufacturing processes. Familiarity with CAD software, simulation tools, and industry standards such as TAPPI is typically required. Strong problem-solving skills, creativity, and effective remote communication set exceptional candidates apart. These skills and qualities ensure innovative, efficient, and collaborative solutions in paper product design and optimization, even when working remotely.

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

Remote Paper Engineers often encounter challenges related to communication and collaboration, as much of the work involves coordinating with design teams, manufacturers, and clients from a distance. Managing accurate prototyping and ensuring design specifications are met without being on-site requires strong documentation skills and the use of digital modeling tools. Staying organized, proactively scheduling virtual check-ins, and utilizing collaboration platforms can help overcome these hurdles and ensure projects stay on track.

What are Remote Paper Engineers?

Remote Paper Engineers are professionals who design and develop intricate paper structures, models, or mechanisms, often for packaging, art installations, educational tools, or promotional materials, while working from a location outside of a traditional office or studio. They use specialized software and manual techniques to create detailed prototypes and final products. Remote Paper Engineers collaborate with clients and teams virtually, utilizing digital communication tools to manage projects and share designs. This position allows for flexibility in location and often requires strong self-management skills, creativity, and technical expertise in paper engineering. Communication and collaboration skills are also essential, as much of the work is coordinated online.

What is the difference between Remote Paper Engineer vs Remote Packaging Designer?

AspectRemote Paper EngineerRemote Packaging Designer
CredentialsDegree in Packaging Engineering, Material Science, or related fieldDegree in Industrial Design, Graphic Design, or Packaging Design
Work EnvironmentCollaborates with manufacturing, R&D, and supply chain teamsWorks with marketing, product development, and clients
Industry UsageUsed in paper and packaging manufacturing companiesCommon in consumer goods, retail, and branding sectors

Remote Paper Engineers focus on developing and testing paper-based packaging solutions, requiring technical engineering skills. Remote Packaging Designers concentrate on visual and functional packaging design, emphasizing aesthetics and user experience. While both roles involve packaging, their core responsibilities and skill sets differ, making them distinct career paths within the packaging industry.

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