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Remote Verification Jobs in Washington (NOW HIRING)

Welo Data

AI Content Writer - Remote

Alexandria, VA · Remote

$14.50/hr

Schedule & Support: Fully remote position Set your own schedule and complete tasks when it ... Once verified (ID & Tax only), you'll be officially onboarded. Set your own schedule and start ...

New

Welo Data

Online Data Analyst - Remote

Alexandria, VA · Remote

$14.50/hr

Schedule & Support: Fully remote position Set your own schedule and complete tasks when it ... Once verified (ID & Tax only), you'll be officially onboarded. Set your own schedule and start ...

New

Welo Data

Search Quality Rater - Remote

Alexandria, VA · Remote

$14.50/hr

Schedule & Support: Fully remote position Set your own schedule and complete tasks when it ... Once verified (ID & Tax only), you'll be officially onboarded. Set your own schedule and start ...

New

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How much do remote verification jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote verification in Washington is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $22.88 per hour, depending on experience, location, and employer.

What is a Remote Verification job?

A Remote Verification job involves reviewing and confirming the authenticity of documents, identities, transactions, or other data remotely. This role is often found in industries like finance, telecommunications, or online services, ensuring compliance with security and regulatory standards. Employees may use specialized software or manual checks to verify information. Strong attention to detail and knowledge of verification procedures are essential.

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

To excel in a Remote Verification role, you need acute attention to detail, analytical thinking, and familiarity with verification procedures, often supported by a background in data entry, quality assurance, or customer service. Experience with verification platforms, CRM systems, and secure document management tools is commonly required, and relevant certifications in compliance or data handling can be advantageous. Strong communication skills, self-motivation, and time management are valuable soft skills for working independently and resolving discrepancies efficiently. These competencies ensure accurate verification, maintain data integrity, and support effective remote collaboration within distributed teams.

What are some typical challenges faced in a Remote Verification position and how can I overcome them?

One common challenge in Remote Verification roles is ensuring high accuracy and consistency while reviewing large volumes of documents or data, often without face-to-face supervision or immediate team support. To overcome this, it's important to establish a structured workflow, use checklists, and take regular breaks to maintain focus. Staying updated on the latest compliance guidelines and leveraging available digital verification tools can also enhance efficiency and reduce errors. Good communication with your remote team and being proactive in seeking clarification can help address issues quickly and ensure smooth operations. Overall, adaptability and a willingness to continuously improve your process are key to thriving in this position.
More about Remote Verification jobs
What are the most commonly searched types of Verification jobs in Washington? The most popular types of Verification jobs in Washington are:
What are popular job titles related to Remote Verification jobs in Washington? For Remote Verification jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Verification jobs in Washington look for? The top searched job categories for Remote Verification jobs in Washington are:
What cities in Washington are hiring for Remote Verification jobs? Cities in Washington with the most Remote Verification job openings:
Remote Verification jobs near you
Infographic showing various Remote Verification job openings in Washington as of May 2026, with employment types broken down into 65% Full Time, 33% Part Time, and 2% Contract. Highlights an 88% Physical, 9% Hybrid, and 3% Remote job distribution, with an average salary of $44,451 per year, or $21.4 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.

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