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Remote Hourly Jobs in Silver Spring, MD (NOW HIRING)

BetterHelp

Psychiatrist - (Remote)

Washington, DC · Remote

$165 - $225/hr

Estimated Effective Hourly Earnings*: Earnings between $165 to $225 per hour is based on a 60 ... Work Location: Remote *Estimated effective hourly earnings are for licensed Psychiatrists in ...

BetterHelp

Psychiatrist - Remote

Washington, DC · Remote

$119 - $242/hr

Estimated Effective Hourly Earnings*: Earnings between $119 to $242 per hour is based on a 60 ... Remote *Estimated effective hourly earnings are for licensed Psychiatrists and are illustrative ...

Arcetyp LLC

Hourly Proposal Manager

Arlington, VA · Remote

Work is remote via telework. Work is by project and hourly and sometimes fixed price. 1099 is fine and C2C may be workable. Responsibilities Coordinates with our principal proposal manager on ...

Arcetyp LLC

Hourly Proposal Manager

Arlington, VA · Remote

Work is remote via telework. Work is by project and hourly and sometimes fixed price. 1099 is fine and C2C may be workable. POSITION DUTIES . Primary job functions include, but are not limited to ...

ForgeFit

Remote Customer Service Specialist

Washington, DC · On-site +1

$19.25 - $25.50/hr

Competitive hourly pay based on experience * Comprehensive benefits including health, dental, vision, 401k, and paid time off * 100% remote work with a collaborative and supportive team * Ongoing ...

ForgeFit

Remote Customer Service Specialist

Baltimore, MD · On-site +1

$17 - $22.25/hr

Competitive hourly pay based on experience * Comprehensive benefits including health, dental, vision, 401k, and paid time off * 100% remote work with a collaborative and supportive team * Ongoing ...

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How much do remote hourly jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote hourly in Silver Spring, MD is $33.01, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $34.95 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Hourly Worker, you need strong time management, self-motivation, and proficiency in the specific job function, often supported by relevant experience or training. Familiarity with digital collaboration tools like Slack, Zoom, and project management systems such as Trello or Asana is typically required. Excellent communication, adaptability, and the ability to work independently are standout soft skills in this role. These skills and qualities are essential for maintaining productivity, meeting deadlines, and collaborating effectively in a remote work environment.

What are some common challenges faced when working as a remote hourly employee, and how can they be managed?

Remote hourly employees often encounter challenges such as maintaining clear communication with supervisors, tracking work hours accurately, and staying motivated without in-person oversight. To address these, it’s important to proactively use time-tracking tools, establish regular check-ins with your manager, and create a dedicated workspace to minimize distractions. Building a routine and leveraging digital collaboration platforms can also help foster a sense of connection with your team, ensuring productivity and clarity on expectations.

What are remote hourly jobs?

Remote hourly jobs are positions where employees or contractors work from a location outside of a traditional office, such as their home, and are paid based on the number of hours they work. These jobs cover a wide range of fields, including customer service, data entry, writing, IT support, and more. Remote hourly roles offer flexibility in terms of location and sometimes scheduling, making them attractive to people seeking work-life balance or those unable to commute. Payment is typically tracked by timesheets or time-tracking software, ensuring workers are compensated accurately for their time. This type of job is ideal for those who want remote work but prefer or require consistent hourly compensation rather than a salaried or project-based payment.

Will Amazon really pay you to work-from-home?

Amazon offers remote hourly positions that pay employees for their work-from-home hours. These roles typically require specific skills, such as customer service or technical support, and often involve scheduled shifts and the use of company-provided tools. Amazon's remote jobs are legitimate employment opportunities with standard pay and benefits.

What is the difference between Remote Hourly vs Remote Part-Time?

AspectRemote HourlyRemote Part-Time
Work SchedulePaid per hour, flexible hoursFixed hours, fewer than full-time
CredentialsVaries by role, often entry to mid-levelSimilar credentials, often same as full-time
Work EnvironmentRemote, independentRemote, independent
Employer UsageCommon in freelancing, gig workUsed by companies for part-time roles

Remote Hourly and Remote Part-Time roles both offer flexible remote work options. The main difference is that Remote Hourly jobs pay based on hours worked, providing flexibility in scheduling, while Remote Part-Time roles have set hours, typically fewer than full-time, with a consistent schedule. Both roles often require similar skills and credentials, making them suitable for those seeking flexible remote employment.

What are the most commonly searched types of Remote jobs in Silver Spring, MD? The most popular types of Remote jobs in Silver Spring, MD are:
What are popular job titles related to Remote Hourly jobs in Silver Spring, MD? For Remote Hourly jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Hourly jobs in Silver Spring, MD look for? The top searched job categories for Remote Hourly jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Hourly jobs? Cities near Silver Spring, MD with the most Remote Hourly job openings:
Remote Hourly jobs near you
Infographic showing various Remote Hourly job openings in Silver Spring, MD as of May 2026, with employment types broken down into 70% Full Time, 10% Temporary, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,662 per year, or $33 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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