ZipRecruiter

Log In

2

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

VisionSpark

Head of Operations [HT-1024317]

Washington, DC · On-site +1

$90K - $115K/yr

MARKERY LAW LLC HEAD OF OPERATIONS THE PERSON Are you someone who naturally brings structure, clarity, and follow-through to a fast-moving business? Do you take ownership of people, processes, and

next page

Showing results 1-20

People also search for

All JobsRemote Management JobsRemote Management Jobs in Silver Spring, MD

Remote Management information

See Silver Spring, MD salary details

$28.9K

$63.5K

$119.4K

How much do remote management jobs pay per year?

As of May 31, 2026, the average yearly pay for remote management in Silver Spring, MD is $63,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $86,800.00 per year, depending on experience, location, and employer.

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

To thrive in Remote Management, you need strong leadership abilities, experience in team coordination, and a solid understanding of project or operational management principles, often supported by a relevant degree or managerial experience. Familiarity with remote collaboration tools like Slack, Zoom, Asana, and cloud-based project management software is essential, and certifications in project management (such as PMP or Agile) can be beneficial. Exceptional communication, self-motivation, and cultural awareness are key soft skills for managing distributed teams effectively. These skills and qualities are crucial for ensuring productivity, engagement, and successful outcomes in a virtual work environment.

What are some common challenges faced by remote managers, and how can they effectively address them?

Remote managers often encounter challenges such as building team cohesion, maintaining clear communication, and ensuring accountability across distance. To address these obstacles, effective remote managers implement regular check-ins, utilize collaboration tools, and set clear expectations for deliverables and communication. Investing time in building trust and fostering an inclusive team culture also helps mitigate feelings of isolation among remote team members. Additionally, providing opportunities for professional development and feedback ensures that remote employees stay engaged and aligned with organizational goals.

What is remote management?

Remote management refers to the process of overseeing teams, projects, or business operations from a location different than where the work is being performed. This typically involves using digital communication tools, project management software, and cloud-based technologies to coordinate tasks, monitor progress, and support team members who are working remotely. Remote managers focus on maintaining productivity, fostering team collaboration, and ensuring alignment with company goals, even when employees are geographically dispersed. This approach has become increasingly popular with the rise of remote and hybrid work environments.

What is the difference between Remote Management vs Remote Customer Support?

AspectRemote ManagementRemote Customer Support
Primary ResponsibilitiesOverseeing teams, project coordination, strategic planningAssisting customers, resolving issues, providing product information
Required SkillsLeadership, communication, project managementCommunication, problem-solving, product knowledge
Work EnvironmentVirtual teams, management platformsCustomer service platforms, chat, email, phone
Common CertificationsProject Management Professional (PMP), leadership coursesCustomer service certifications, product training

Remote Management involves overseeing teams and projects remotely, focusing on leadership and strategic planning. Remote Customer Support centers on assisting customers directly, emphasizing communication and problem-solving skills. While both roles are remote and require strong communication, their core responsibilities and skill sets differ significantly.

What are the most commonly searched types of Management jobs in Silver Spring, MD? The most popular types of Management jobs in Silver Spring, MD are:
What are popular job titles related to Remote Management jobs in Silver Spring, MD? For Remote Management jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Management jobs in Silver Spring, MD look for? The top searched job categories for Remote Management jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Management jobs? Cities near Silver Spring, MD with the most Remote Management job openings:
Remote Management jobs near you
Infographic showing various Remote Management job openings in Silver Spring, MD as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $63,500 per year, or $30.5 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 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.

Apply