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Remote Modeling Jobs in Washington (NOW HIRING)

RER SOLUTIONS, INC

Financial Modeler

Washington, DC · On-site +1

The Financial Modeler will provide onsite and remote federal program leadership. RESPONSIBILITIES * Build and maintain detailed financial models, including discounted cash flow (DCF), debt service ...

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$25

$45

$86

How much do remote modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote modeling in Washington is $45.68, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $49.28 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Model, you need a strong portfolio, camera presence, and understanding of posing and styling, typically supported by experience or agency representation. Familiarity with virtual meeting platforms, high-quality cameras, lighting setups, and photo editing software is often required. Confidence, adaptability, self-motivation, and effective communication help build rapport with clients and deliver professional results independently. These skills ensure that remote models can consistently produce high-quality work, meet client expectations, and succeed in a competitive, digital-first industry.

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

Remote modeling professionals often encounter challenges such as maintaining clear communication with clients or creative teams, managing time effectively without in-person supervision, and ensuring high-quality work despite limited access to traditional studios. To address these issues, it’s important to establish regular check-ins, use reliable video conferencing and collaboration tools, and create a dedicated workspace at home. Staying organized and proactive in seeking feedback can also help remote models stay aligned with expectations and maintain professional standards.

What is remote modeling?

Remote modeling refers to the process of working as a model without being physically present at a studio or location. Instead, models participate in photoshoots, video sessions, or live streaming from their own home or another remote environment, often using high-quality cameras and internet connections. This approach allows models to collaborate with photographers, brands, and agencies worldwide, offering flexibility and expanding job opportunities. Remote modeling became especially popular during the COVID-19 pandemic and continues to be a viable option for many in the industry.

What is the difference between Remote Modeling vs Remote Data Analysis?

AspectRemote ModelingRemote Data Analysis
Required CredentialsTypically requires a degree in modeling, fashion, or related fields; portfolio often neededRequires a degree in statistics, data science, or related fields; proficiency in data tools
Work EnvironmentPrimarily photoshoots, fashion shows, or promotional events, often remotely via digital platformsPrimarily computer-based, analyzing datasets remotely using specialized software
Employer & Industry UsageFashion, advertising, entertainment industriesTech, finance, healthcare, and marketing industries

Remote Modeling involves showcasing products or brands through photos and videos, often requiring a portfolio and industry-specific credentials. Remote Data Analysis focuses on interpreting data sets to inform business decisions, requiring analytical skills and technical expertise. While both roles can be performed remotely, their industries, credentials, and daily tasks differ significantly.

What are the most commonly searched types of Modeling jobs in Washington? The most popular types of Modeling jobs in Washington are:
What are popular job titles related to Remote Modeling jobs in Washington? For Remote Modeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Modeling jobs in Washington look for? The top searched job categories for Remote Modeling jobs in Washington are:
What cities in Washington are hiring for Remote Modeling jobs? Cities in Washington with the most Remote Modeling job openings:
Remote Modeling jobs near you
Infographic showing various Remote Modeling job openings in Washington as of May 2026, with employment types broken down into 53% Full Time, 33% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,020 per year, or $45.7 per hour.

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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