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Remote Packaging Jobs in Washington (NOW HIRING)

THE IMPACT YOU WILL MAKE The Desktop Packaging Engineer role is responsible for building, testing ... remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for ...

Remote Tax Senior

Bethesda, MD · Remote

$101K - $135K/yr

Remote (U.S.-based) Job Type: Full-time About the Firm: Mid-size public accounting firm that ... Comprehensive benefits package, including health, dental, and 401(k) match . Generous PTO and paid ...

Remote Tax Senior

Washington, DC · Remote

$101K - $135K/yr

Remote (U.S.-based) Job Type: Full-time About the Firm: Mid-size public accounting firm that ... Comprehensive benefits package, including health, dental, and 401(k) match . Generous PTO and paid ...

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent attorneys with ... Transparent, competitive compensation and benefits package. Compensation Salary Range: $180,000 ...

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent agents with ... Transparent, competitive compensation and benefits package. Compensation Salary Range: $180,000 ...

Remote Insurance Representative | Flexible Schedule | Commission-Based This position offers ... Comprehensive benefits package including medical, dental, and prescription coverage * Ongoing ...

Remote Insurance Representative | Flexible Schedule | Commission-Based This position offers ... Comprehensive benefits package including medical, dental, and prescription coverage * Ongoing ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

Remote, work from home career. * Average first-year earnings of $69K commission + bonuses. * Life ... Excellent benefits package - medical, dental, and prescription coverage. * Exceptional training ...

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How much do remote packaging jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote packaging in Washington is $21.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $22.60 per hour, depending on experience, location, and employer.

What is a Remote Packaging job?

A Remote Packaging job involves preparing, labeling, and organizing products for shipment from a home-based location. Responsibilities may include assembling product kits, sealing packages, and ensuring accuracy in order fulfillment. These roles are often found in industries like e-commerce, retail, and manufacturing. Some positions may require specialized equipment or training, depending on the nature of the products being packaged. Always verify the legitimacy of remote packaging jobs to avoid potential scams.

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

To thrive in a Remote Packaging position, you should have a strong attention to detail, organizational skills, and prior experience with packaging or order fulfillment, often supported by a high school diploma or equivalent. Familiarity with inventory management software, shipping label systems, and standard office or warehouse tools is typically required. Excellent communication, time management, and self-motivation help set you apart in a remote environment. These skills ensure accurate, timely, and efficient packaging processes while maintaining quality standards from a distance.

What does a typical workday look like for someone in a Remote Packaging role?

A typical workday for a Remote Packaging professional involves receiving order lists, preparing goods for shipment, and coordinating with shipping services or distribution teams. You may use digital tracking systems to document each shipment and ensure accuracy in packaging, labeling, and inventory counts. Communication with supervisors or other team members often occurs via email or team collaboration tools, making responsiveness and organization important. Depending on the employer's setup, you might work independently from a home-based workspace or a designated remote facility. Daily tasks are usually structured to prioritize efficiency and minimize shipping errors, providing a vital link in the overall supply chain.
What are the most commonly searched types of Packaging jobs in Washington? The most popular types of Packaging jobs in Washington are:
What cities in Washington are hiring for Remote Packaging jobs? Cities in Washington with the most Remote Packaging job openings:
Infographic showing various Remote Packaging job openings in Washington as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $44,396 per year, or $21.3 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 13 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.