2

Remote Apple Maps Image Collection Jobs in Washington

EO collection systems * Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies * Experience exploiting EO imagery to: * Detect * Identify * Locate objects ...

EO collection systems * Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies * Experience exploiting EO imagery to: * Detect * Identify * Locate objects ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... The project is performed on cars with 360 cameras mounted on top that image the area around the ...

EO collection systems * Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies * Experience exploiting EO imagery to: * Detect * Identify * Locate objects ...

EO collection systems * Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies * Experience exploiting EO imagery to: * Detect * Identify * Locate objects ...

Contractor (Long-term) Work Modality: 100% Remote Work Schedule: Full-time Time Zone: Pacific Time ... You'll own compliance frameworks end-to-end--from scoping and evidence collection to gap analysis ...

New

... Secret required Remote Rate: $40/hr. to $60/hr. commensurate with experience System One IT is ... Support device enrollment, provisioning, and lifecycle management using Intune, Autopilot, Apple ...

Showing results 21-40

Remote Apple Maps Image Collection information

What is a Remote Apple Maps Image Collection?

A Remote Apple Maps Image Collection job involves gathering and processing geographic images and data to improve the quality and accuracy of Apple Maps. Employees in this role typically use specialized equipment or software to capture street-level or aerial images, often from various locations, and then upload or process that data remotely. The job may also include reviewing, editing, and labeling images to ensure they meet Apple's mapping standards. This position is usually remote, allowing team members to work from home or from the field. It plays a crucial part in keeping Apple Maps up-to-date and reliable for users.

What key skills and qualifications are needed to excel in Remote Apple Maps Image Collection roles?

Success in Remote Apple Maps Image Collection requires strong attention to detail, geographic awareness, and often a valid driver’s license with a clean driving record. Familiarity with GPS navigation devices, data collection software, and sometimes basic troubleshooting of camera or mapping equipment is typically expected. Reliability, time management, and effective communication are crucial soft skills for meeting collection targets and resolving issues independently. These skills ensure accurate, consistent data collection and contribute to the quality and reliability of Apple Maps’ geographic information.

What are some common challenges faced in a Remote Apple Maps Image Collection role, and how can they be managed?

In a Remote Apple Maps Image Collection role, one of the main challenges is ensuring consistent image quality and capturing data in a variety of environments, often with changing light or weather conditions. Additionally, managing the technical equipment remotely and troubleshooting issues without on-site support can require strong problem-solving skills. Team members often work independently but must also coordinate closely with supervisors and data analysts to meet project goals and adhere to strict privacy and safety standards. Staying organized, maintaining clear communication, and following detailed protocols help manage these challenges effectively.

What is the difference between Remote Apple Maps Image Collection vs Remote Data Annotator?

AspectRemote Apple Maps Image CollectionRemote Data Annotator
Required CredentialsBasic technical skills, sometimes GPS or mapping knowledgeAttention to detail, basic computer skills
Work EnvironmentRemote, field data collection, often outdoors or via mobile devicesRemote, computer-based, often in a home office
Employer & Industry UsageTech companies, mapping services, geographic data providersTech companies, AI training, machine learning projects
Search & Comparison IntentMapping data collection, geographic data jobsData labeling, annotation, AI training roles

Remote Apple Maps Image Collection involves collecting geographic images and data, often outdoors and with GPS devices. In contrast, Remote Data Annotator focuses on labeling and annotating data for AI models, typically performed indoors on computers. Both roles are remote but serve different purposes within the tech and mapping industries.

What are the most commonly searched types of Apple Maps Image Collection jobs in Washington?

The most popular types of Apple Maps Image Collection jobs in Washington are:

What are popular job titles related to Remote Apple Maps Image Collection jobs in Washington?

For Remote Apple Maps Image Collection jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Apple Maps Image Collection jobs in Washington look for?

The top searched job categories for Remote Apple Maps Image Collection jobs in Washington are:

What cities in Washington are hiring for Remote Apple Maps Image Collection jobs?

Cities in Washington with the most Remote Apple Maps Image Collection job openings:

Infographic showing various Remote Apple Maps Image Collection job openings in Washington as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

Imagery Scientist (EO)- Expert

Falls Church, VA • Remote

$180K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead Electro-Optical subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Serve as the lead technical authority for EO exploitation and imagery science initiatives.
  • Analyze:
    • EO collection capabilities
    • Sensor phenomenology
    • Image formation processes
  • Exploit imagery to identify and locate objects of interest across intelligence scenarios
  • Develop, test, and evaluate:
    • New algorithms
    • Exploitation methodologies
    • Scientific workflows
    • Automated processing techniques
  • Utilize advanced processing tools including:
    • Python
    • MATLAB
    • Google Earth Engine
  • Support automation of EO scientific processing and analysis workflow
  • Assess emerging EO sensor characteristics and capabilities
  • Evaluate impacts to:
    • Metadata structures
    • Data formats
    • APIs and ETL processes
    • Existing operational pipelines
  • Develop strategies to:
    • Pre-process EO imagery
    • Normalize and standardize datasets
    • Convert formats and tile imagery
  • Prepare imagery for:
    • Labeling
    • Model testing
    • Advanced exploitation workflows
  • Investigate gaps in emerging EO sensor capabilities
  • Collaborate with SAR Imagery Scientists to:
    • Identify coincident imagery opportunities
    • Align EO imagery with temporal and geographic collection windows
  • Support multi-INT exploitation workflows

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience
  • Demonstrated expertise in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Hands-on experience using:
    • Python
    • MATLAB
    • Google Earth Engine
    • EO imagery processing tools
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Deep understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

  • The pay range for this position is: $180,000 - $210,000