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Afternoon Apple Map Driver Jobs (NOW HIRING)

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps ...

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps ...

Warehouse Associate (Driver Flex)

Puyallup, WA · On-site

$18.50 - $22.50/hr

Warehouse Associate (Flex Driver) Ridwell is a service that inspires people to create a future ... Must own and be able to use a smartphone and Google or Apple maps. * Ability to be on your feet or ...

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Afternoon Apple Map Driver information

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$11

$15

$18

How much do afternoon apple map driver jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for afternoon apple map driver in the United States is $15.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $17.07 per hour, depending on experience, location, and employer.

What is an afternoon Apple Map driver?

An Afternoon Apple Map Driver is a contractor hired by Apple or third-party vendors to drive designated routes during the afternoon, collecting and updating mapping data for Apple Maps. These drivers use specially equipped vehicles with cameras and sensors to capture street-level imagery and gather location information. The data collected helps Apple improve map accuracy, update road details, and enhance features like navigation and 3D views. Typically, drivers follow specific instructions and routes provided by Apple, and work part-time or on a flexible schedule. This role requires a valid driver’s license, good driving record, and attention to detail.

What does an afternoon Apple Map driver do?

As an Afternoon Apple Map Driver, your workday typically involves following pre-assigned routes designed to collect mapping data using specialized equipment in your vehicle. You’ll start your shift by checking your route and ensuring all equipment is functioning correctly. Throughout your day, you’ll drive designated areas, often working independently, but you’ll stay connected with a remote support team for troubleshooting or updates. Route planning is usually handled by a centralized team, but you may need to adapt to real-time conditions such as traffic or road closures, so flexibility and attention to detail are important.

What skills and qualifications are needed to thrive as an afternoon Apple Map driver?

To thrive as an Afternoon Apple Map Driver, you need a valid driver's license, a clean driving record, and strong navigation abilities. Familiarity with GPS systems, mapping apps, and sometimes proprietary Apple software is typically required. Attention to detail, reliability, and good time management are essential soft skills for this role. These competencies ensure accurate data collection, timely route completion, and contribute to the overall quality of Apple Maps.

What is the difference between Afternoon Apple Map Driver vs Evening Apple Map Driver?

AspectAfternoon Apple Map DriverEvening Apple Map Driver
Work HoursAfternoon shifts, typically 12 PM - 6 PMEvening shifts, typically 6 PM - 12 AM
CertificationsValid driver’s license, GPS navigation skillsValid driver’s license, GPS navigation skills
Work EnvironmentUrban and suburban areas, moderate trafficUrban areas, higher traffic and lower visibility
Employer UsageApple Maps for route verification and data collectionApple Maps for route updates and traffic data

The main difference between an Afternoon Apple Map Driver and an Evening Apple Map Driver lies in their shift timings and traffic conditions. Both roles require similar certifications and work in comparable environments, but their schedules cater to different times of day, affecting traffic patterns and data collection activities.

How to become an Afternoon Apple Map Driver?

To become an Afternoon Apple Map Driver, applicants typically need a valid driver's license, a clean driving record, and a reliable vehicle. They should also have good navigation skills and may need to pass a background check and vehicle inspection. Familiarity with Apple Maps and the ability to work flexible hours are also beneficial.
More about Afternoon Apple Map Driver jobs

What cities are hiring for Afternoon Apple Map Driver jobs?

Cities with the most Afternoon Apple Map Driver job openings:

What are the most commonly searched types of Apple Map Driver jobs?

The most popular types of Apple Map Driver jobs are:

What states have the most Afternoon Apple Map Driver jobs?

States with the most job openings for Afternoon Apple Map Driver jobs include:

Infographic showing various Afternoon Apple Map Driver job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 40% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $31,945 per year, or $15.4 per hour.

Data Scientist

Cupertino, CA • On-site


Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 25 days ago


Job description

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.
Description
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating routing service quality, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for routing data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more.
Minimum Qualifications
MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain
3+ years experience with data analysis at web scale or relevant work experience
Proficient in at least one programming/scripting language (e.g., Python, Scala, Java)
Proficient in at least one database language (e.g., SQL)
Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
Solid communication and presentation skills
Preferred Qualifications
Prior industry experience with AB testing and causal inference
Experience with spatial data analysis
Prior proven industry experience with large data sets using technologies like Hadoop and Spark
Experience writing pipelines for automating analytics tasks at scale
Domain-specific knowledge of the mapping/transportation/GIS industry
Experience mentoring junior data scientists and leading projects of varying sizes and scopes

Apple logo

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


What Apple employees say

Pay

Benefits

Hours and flexibility

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