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Flexible Apple Maps Image Collection Jobs (NOW HIRING)

... Apple Maps, iCloud, Creator Studio and more. Whether we're launching the Apple Music Super Bowl ... This position requires a proactive, flexible individual with strong communication and leadership ...

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Flexible Apple Maps Image Collection information

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$40K

$68.3K

$98K

How much do flexible apple maps image collection jobs pay per year?

As of Jul 5, 2026, the average yearly pay for flexible apple maps image collection in the United States is $68,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple Maps Image Collection Specialist, and why are they important?

To thrive as an Apple Maps Image Collection Specialist, you need a valid driver’s license, a good driving record, attention to detail, and familiarity with navigation and mapping concepts. Experience with GPS devices, data collection systems, and basic troubleshooting of technical equipment is typically required. Strong organizational skills, effective communication, and reliability help ensure high-quality data collection and adherence to schedules. These skills and qualities are essential to accurately gather map data, contribute to reliable navigation tools, and maintain Apple’s quality standards.

What is a Flexible Apple Maps Image Collection job?

A Flexible Apple Maps Image Collection job involves collecting imagery and data for Apple Maps using specialized equipment, often mounted on vehicles or carried on foot. The role typically requires traveling to different locations, capturing photos, and ensuring high-quality data submission. Flexibility in schedule and location is important, as assignments may vary by region and time. This job helps improve map accuracy and update geographic information for Apple Maps users.

What does a typical day look like for someone working in Flexible Apple Maps Image Collection, and what environments might I work in?

A typical day in Flexible Apple Maps Image Collection involves operating specialized camera equipment, often mounted on vehicles, to capture high-quality imagery of streets and landscapes. You may work both independently and as part of a small team, with assignments in urban, suburban, or rural areas. The role requires adaptability to varying weather conditions, attention to detail to ensure comprehensive coverage, and regular communication with remote supervisors to coordinate routes and troubleshoot issues. Flexibility is key, as schedules and locations can change based on project needs.
More about Flexible Apple Maps Image Collection jobs
What cities are hiring for Flexible Apple Maps Image Collection jobs? Cities with the most Flexible Apple Maps Image Collection job openings:
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What states have the most Flexible Apple Maps Image Collection jobs? States with the most job openings for Flexible Apple Maps Image Collection jobs include:
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Infographic showing various Flexible Apple Maps Image Collection job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 47% Physical, and 53% Remote job distribution, with an average salary of $68,256 per year, or $32.8 per hour.
3D Computer Vision Research Engineer, Apple Maps

3D Computer Vision Research Engineer, Apple Maps

Apple

Cupertino, CA • On-site

Full-time

Posted 6 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Apple is where individual imaginations come together to create products, services, and experiences that enrich people's lives. At Apple, great ideas become stronger through collaboration, diverse perspectives, and a shared commitment to doing our best work. Here, you will do more than join a team - you will add something meaningful.
The 3D Vision team at Apple Maps is looking for exceptional computer vision and machine learning talent to help build the next generation of map automation and spatial intelligence technologies. Our team researches, develops, and deploys algorithms at global scale, working with extremely large multimodal datasets collected from aerial, satellite, and ground-based platforms.
As part of this team, you will work on challenging real-world problems in visual understanding, map feature extraction, scene understanding, and physical-world reasoning. The technologies we build help create and maintain high-quality map data that powers user-facing Apple Maps experiences and broader Apple products.
Description
You will join a small, fast-paced team of computer vision and machine learning experts working on large-scale visual understanding for Apple Maps. This role focuses on developing models and systems that extract meaningful map features from real-world imagery and other sensor data. Example areas include object and feature detection, semantic understanding, attribute prediction, imagery-based map updates, scene-level reasoning, and multimodal understanding. You will help develop novel methods that combine machine learning, 3D geometry, multimodal data, and large-scale systems to solve practical mapping problems at Apple Maps scale.
Minimum Qualifications
Strong background in computer vision and machine learning.
Hands-on experience with visual understanding, object detection, segmentation, feature extraction, scene understanding, or related computer vision problems.
Familiarity with 3D geometry, spatial reasoning, or large-scale geospatial data is a plus.
Solid programming skills.
Master's degree with 2+ years of relevant experience.
Preferred Qualifications
PhD degree in Computer Vision, Machine Learning, AI, Computer Science, Electrical Engineering, or a related field.
Publications in top-tier CV/ML conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, or related venues.
Experience with vision-language models, multimodal LLMs, reasoning models, or generative image/video models is a plus.
Experience building ML systems for large-scale real-world visual data.
Knowledge of 3D geometry, geospatial data, or computer graphics fundamentals is a plus.
Strong C/C++ and Python programming skills.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976