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Remote Google 3D Jobs in Virginia (NOW HIRING)

Riverside Research

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

Provides non-literal analysis to produce intelligence products, using remote sensing methodologies ... Experience with producing 3D models and visualizations of buildings, terrain, or equipment by ...

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Remote Google 3D information

How does a Remote Google 3D specialist typically collaborate with cross-functional teams while working offsite?

As a Remote Google 3D Specialist, collaboration with cross-functional teams such as designers, engineers, and product managers is primarily conducted through digital tools like Google Meet, Slack, and shared project management platforms. Regular virtual meetings and asynchronous communication are key to staying aligned on project goals, timelines, and feedback. Building strong communication skills and proactively sharing updates help ensure that 3D assets integrate smoothly into larger projects. While remote, you are expected to be responsive, organized, and participate actively in team discussions to maintain workflow efficiency.

What is a Remote Google 3D?

A Remote Google 3D job typically involves creating, modeling, or managing 3D content and experiences for Google products or services, such as Google Maps, Google Earth, or augmented reality applications. These roles can include 3D artists, modelers, software engineers, or UX designers who specialize in 3D technologies. Working remotely means that you perform these responsibilities from a location outside of a traditional Google office, using online collaboration tools and virtual communication. These positions require strong technical skills in 3D software, an understanding of Google's platforms, and the ability to work effectively within distributed teams.

What are the key skills and qualifications needed to thrive as a Remote Google 3D specialist, and why are they important?

To excel as a Remote Google 3D Specialist, you need strong expertise in 3D modeling, spatial visualization, and digital design, usually backed by a degree in computer graphics, architecture, or a related field. Familiarity with tools such as Google Earth Studio, SketchUp, Blender, and GIS platforms, along with relevant certifications, is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication are vital soft skills for collaborating remotely and delivering high-quality visualizations. These competencies ensure accurate, visually compelling 3D content that meets client and project requirements in a remote work environment.
What are popular job titles related to Remote Google 3D jobs in Virginia? For Remote Google 3D jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Google 3D jobs in Virginia look for? The top searched job categories for Remote Google 3D jobs in Virginia are:
What cities in Virginia are hiring for Remote Google 3D jobs? Cities in Virginia with the most Remote Google 3D job openings:
Remote Google 3D jobs near you

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Springfield, VA • Remote

$76K/yr

Full-time

Posted 6 days ago

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience developing workflows or techniques to automate imagery, raster, and/or 3D data processing and exploitation activities
Experience with imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience developing remote sensing analytic techniques or tradecraft to solve scientific or operational intelligence problems
Experience developing and presenting findings to both technical and non-technical audiences via written reports and/or oral briefings
Experience collaborating across interdisciplinary teams to achieve operational and/or scientific objectives
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Experience researching and applying analytical techniques from published academic literature to operational remote sensing problems
Experience with software development or scripting (e.g., Matlab, Python, C++) to automate imagery, raster, and/or 3D data processing
Application of artificial intelligence, machine learning, computer vision, and/or automated feature extraction concepts to remote sensing data
Experience designing, operating, or calibrating satellite, airborne, or ground imaging systems and chemical analysis instruments
Experience with remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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