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Remote Google Mapping Driver Jobs in Virginia (NOW HIRING)

Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping). * Proficiency with geospatial tools such as: * ArcGIS Pro * Google Earth ...

Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping). * Proficiency with geospatial tools such as: * ArcGIS Pro * Google Earth ...

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

... Google Sketch-Up software, or RealSite * Experience with using Microsoft Word, PowerPoint, database ... techniques, remote sensing, and photogrammetry * Ability to annotate Map Graphics, displaying ...

HubSpot Strategist

Richmond, VA · On-site +1

$81K - $93K/yr

Map and structure CRM data architecture, ensuring data integrity and alignment with business goals ... A Google Partner and HubSpot Diamond Partner Setting You Up For Success As an employee-first ...

This is a remote role with opportunities to work across distributed teams in a fast-paced ... Experience mapping detections to MITRE ATT&CK techniques * Experience with cloud security ...

Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our ... High proficiency in Microsoft Office and Google Workspace * Strong organizational skills, attention ...

Cloud Platform Architect

Virginia Beach, VA · On-site +1

$57.50 - $73.25/hr

100% Remote US Citizenship or Green Card Think Consulting is seeking a Cloud Platform Architect to ... Apply knowledge of cloud computing, data technologies, business drivers, emerging computing trends ...

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Remote Google Mapping Driver information

What are some common challenges faced by Remote Google Mapping Drivers and how can they be addressed?

Remote Google Mapping Drivers often encounter challenges such as navigating unfamiliar routes, adapting to varying weather conditions, and ensuring that mapping equipment functions correctly throughout their shifts. To address these, it’s essential to plan routes in advance, stay updated on weather forecasts, and perform regular equipment checks before starting each assignment. Effective communication with the support team and using company-provided troubleshooting guides can also help drivers resolve issues quickly and maintain data quality standards.

What is the difference between Remote Google Mapping Driver vs Google Street View Driver?

AspectRemote Google Mapping DriverGoogle Street View Driver
Work EnvironmentPrimarily remote, using GPS and mapping toolsOn-site, driving to capture street-level imagery
Required CredentialsValid driver’s license, familiarity with mapping appsValid driver’s license, vehicle requirements
Industry UsageMapping and navigation services, tech companiesGoogle Maps, geographic data collection
Job FocusUpdating digital maps remotelyCapturing street imagery on the ground

The main difference is that Remote Google Mapping Drivers work remotely to update digital maps using GPS and mapping tools, while Google Street View Drivers physically drive to capture street-level images. Both roles require a valid driver’s license and are integral to mapping and navigation industries, but their work environments and job functions differ significantly.

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

To thrive as a Remote Google Mapping Driver, you generally need a valid driver's license, a clean driving record, and basic technical proficiency with navigation and mobile mapping equipment. Familiarity with GPS devices, custom mapping software, and Google’s proprietary data collection tools is typically required. Attention to detail, reliability, and strong communication skills are crucial for accurately capturing data and reporting issues. These abilities ensure high-quality map data collection and efficient project completion while maintaining safety and compliance standards.

What are Remote Google Mapping Drivers?

Remote Google Mapping Drivers are individuals contracted or employed to drive specific routes while operating vehicles equipped with specialized cameras and GPS equipment to collect imagery and mapping data for Google Maps. Their work helps update and expand the Street View feature, providing up-to-date visuals of roads, landmarks, and neighborhoods around the world. These drivers typically follow predetermined routes and adhere to strict safety and privacy protocols. The position often involves travel, attention to detail, and basic technical skills to manage the mapping equipment. Remote drivers may operate in various locations depending on project needs.
What are the most commonly searched types of Google Mapping Driver jobs in Virginia? The most popular types of Google Mapping Driver jobs in Virginia are:
What job categories do people searching Remote Google Mapping Driver jobs in Virginia look for? The top searched job categories for Remote Google Mapping Driver jobs in Virginia are:
What cities in Virginia are hiring for Remote Google Mapping Driver jobs? Cities in Virginia with the most Remote Google Mapping Driver job openings:

Geospatial Analyst

asrcfh

Reston, VA • On-site, Remote

Other

Posted 15 days ago


Job description

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team and provide agricultural and natural resource analysis support for our government customers.  The successful candidate will play a central role in analyzing agricultural and natural resource data, producing actionable insights, and supporting programs that track global crop conditions and food supply. We’re looking for someone who combines strong technical skills with curiosity, adaptability, and a collaborative mindset.

Work Location: Hybrid in DC

Key Role Responsibilities:

  • Collect, clean, and analyze datasets such as satellite imagery, weather data, agricultural surveys, and field observations
  • Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling
  • Use machine learning approaches for remote sensing and agricultural analytics
  • Produce maps, visualizations, and technical reports—often on tight, recurring deadlines
  • Present findings, support stakeholder engagement, and deliver technical training when needed
  • Stay current on geospatial technologies, industry trends, and analytical methods

Basic Qualifications:

  • Minimum of 2-4 years’ experience in in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • Bachelor’s degree in geography, GIS, remote sensing, environmental/natural sciences, or related field plus at least 2 years of relevant experience. A degree in another discipline plus at least 3 years of experience in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • 6+ years related experience in geospatial analysis and modeling in the absence of a degree.
  • Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping).
  • Proficiency with geospatial tools such as:
    • ArcGIS Pro
    • Google Earth Engine
    • Jupyter Notebooks, Google Colab, or R Studio
  • Basic programming experience in Python, JavaScript, or SQL
  • Excellent written and verbal communication skills and comfort working in a team-based environment