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Remote Apple Maps Image Collection Jobs (NOW HIRING)

SEO Specialist - REMOTE Based in Los Angeles, BD&J is California's leading personal injury law firm ... Conduct citation building across top platforms (e.g., Google Business Profile, Apple Maps, Yelp ...

Drone Operator

$25 - $35/hr

... Maps is hiring contract Drone Operators who will sit at the core of our turnkey data collection ... This is a remote contract role with location and schedule dictated by the work assigned. Prior ...

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... collection -Georeferencing maps -Producing geospatial data and metadata to support maps and ...

Senior Mobile iOS Engineer

Sunnyvale, CA · On-site +1

$166.60K/yr

Hybrid/Remote/Onsite Hybrid: This role is categorized as hybrid. This means the successful ... Experience with Bluetooth (BLE) and Maps SDKs (e.g., Google Maps, Apple Maps, or similar)

Senior Mobile iOS Engineer

Sunnyvale, CA · On-site +1

$164.30K/yr

Hybrid/Remote/Onsite Hybrid: This role is categorized as hybrid. This means the successful ... Experience with Bluetooth (BLE) and Maps SDKs (e.g., Google Maps, Apple Maps, or similar)

The project is performed on cars with 360 cameras mounted on top that image the area around the ... Later, this data will be used to enhance one the most popular online maps in the world. The data ...

Refine the Visual Future of Digital Maps - 100% Remote Do you notice when an icon is off-center or ... Apple User: You are an active iPhone/iOS user. * Google Maps Regular: You have an active Gmail ...

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Remote Apple Maps Image Collection information

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

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 a Remote Apple Maps Image Collection job?

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 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.

More about Remote Apple Maps Image Collection jobs
What cities are hiring for Remote Apple Maps Image Collection jobs? Cities with the most Remote Apple Maps Image Collection job openings:
What are the most commonly searched types of Apple Maps Image Collection jobs? The most popular types of Apple Maps Image Collection jobs are:
What states have the most Remote Apple Maps Image Collection jobs? States with the most job openings for Remote Apple Maps Image Collection jobs include:
Infographic showing various Remote Apple Maps Image Collection job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 16% Part Time, 3% Temporary, and 2% Contract. Highlights an 100% Remote job distribution.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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