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Remote Apple Maps Image Collection Jobs in Washington

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... on SAR expertise, including collection, phenomenology, image formation, and exploitation

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... on SAR expertise, including collection, phenomenology, image formation, and exploitation

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

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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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 August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 22% In-person, and 78% Remote job distribution.

Senior SAR Imagery Scientist

GeoYeti

Springfield, VA • Remote

$190K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Senior SAR Imagery Scientist

Springfield, VA or St. Louis, MO

Active TS/SCI eligibility with eligibility to obtain CI poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior SAR Imagery Analyst in Springfield, VA or St. Louis, MO.

Responsibilities

You will serve as the technical lead on SAR data quality, sensor integration, and imagery processing. You will building automated pipelines, assessing new sensors, and developing algorithms that support analysis at scale. This role blends remote sensing science with applied data engineering and AI.

What You'll Do: 

  • Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors still in early development phases
  • Assess differences between new and existing sensors including data formats, metadata structures, and processing requirements and determine changes needed for downstream use
  • Pre-process, standardize, and tile imagery to specified formats and dimensions while preserving data integrity
  • Develop conversion models to transform data across imagery formats and coordinate systems, ensuring geospatial accuracy
  • Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities
  • Build automated methods to manage and curate large imagery datasets, including integrating with external data sources via APIs
  • Support annotation workflows by identifying and flagging imagery containing objects of interest
  • Source complementary imagery from other sensors to support multi-modal analysis
  • Develop, test, and evaluate new algorithms and processing workflows using Python, MATLAB, or similar tools
  • Manage routine and ad-hoc imagery delivery operations
  • Communicate technical findings and capabilities to both technical and non-technical audiences
Qualifications

Required Qualifications:   

  • Active TS/SCI eligibility with eligibility to obtain CI poly
  • 4+ years of hands-on SAR expertise, including collection, phenomenology, image formation, and exploitation
  • Experience with SARPy and/or MATLAB SAR toolbox
  • Familiarity with SAR image quality assessment methods and sensor metadata
  • Understanding of how geometry affects SAR phenomenology (e.g., graze angle, squint, azimuth)
  • Experience exploiting SAR imagery for object detection and characterization
  • Experience developing and automating geospatial or imagery processing workflows
  • Strong foundation in remote sensing principles and geospatial data processing
  • Clear communicator across technical and non-technical audiences

Desired Qualifications:  

  • Experience applying machine learning or computer vision techniques to SAR or other remotely sensed data
  • Experience working with multi-sensor or multi-modal imagery (e.g., SAR and EO)
  • Familiarity with cloud-based geospatial processing platforms
What you can expect from us
  • The expected salary range within the Washington, DC metropolitan area is: $190,000-$235,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME