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Afternoon Google Mapping Driver Jobs (NOW HIRING)

Google

Director, Product Finance, Google Cloud

Sunnyvale, CA · On-site

$132K - $172K/yr

Strong business acumen with an understanding of business drivers and value-creation. * Ability to ... Google Maps Platform) and Workspace. We are a thought partner and trusted strategic adviser to the ...

Troiano Waste

Service Driver

South Portland, ME · On-site

Plan and navigate routes using Google Maps or similar applications * Ensure timely and accurate ... Valid CDL Class C license * At least 18 years of age and legally eligible to work in the United ...

DATTCO

Dispatcher Split Shift

Bristol, CT · On-site

... drivers with directions and customer itineraries Answer routine phone calls from drivers and ... programs such as Map Point, Google Maps, etc. Position Requirements High school diploma or ...

DATTCO

Dispatcher Split Shift

Bristol, CT · On-site

... drivers with directions and customer itineraries Answer routine phone calls from drivers and ... programs such as Map Point, Google Maps, etc. Position Requirements High school diploma or ...

DATTCO

Dispatcher Split Shift

Bristol, CT · On-site

Daily use of mapping and scheduling programs such as Map Point, Google Maps, etc. Position ... Strongly Preferred * CDL Class B with P and S endorsements * 2 + years' experience working in the ...

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Afternoon Google Mapping Driver information

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$37

$89

How much do afternoon google mapping driver jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for afternoon google mapping driver in the United States is $37.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $41.35 per hour, depending on experience, location, and employer.

What is an Afternoon Google Mapping Driver?

Afternoon Google Mapping Drivers are individuals hired by Google or its contractors to drive vehicles equipped with cameras and sensors in the afternoon hours, typically for the purpose of capturing street-level imagery for Google Maps' Street View feature. Their main responsibility is to operate the mapping vehicle safely while collecting high-quality data on roads, neighborhoods, and points of interest. These drivers must follow specific routes, adhere to traffic laws, and ensure that the equipment is functioning correctly. The imagery and data collected are later processed and uploaded to enhance the accuracy and coverage of Google Maps.

What are the key skills and qualifications needed to thrive as an Afternoon Google Mapping Driver?

To thrive as an Afternoon Google Mapping Driver, you need a valid driver's license, a clean driving record, and familiarity with local geography. Experience using GPS navigation systems, mapping software, and smartphones is typically required. Strong attention to detail, reliability, and good time management help ensure accurate data collection and schedule adherence. These skills are crucial for producing high-quality mapping data while safely and efficiently covering assigned routes.

What are some common challenges faced by an Afternoon Google Mapping Driver and how can they be managed?

Afternoon Google Mapping Drivers often encounter challenges such as fluctuating traffic conditions, unpredictable weather, and the need to consistently maintain high-quality mapping data. Navigating unfamiliar neighborhoods while adhering to scheduled routes can also be demanding. To manage these challenges, drivers typically rely on real-time navigation tools, clear communication with their support team, and careful attention to safety guidelines. Proactive planning and adaptability are key to successfully meeting daily mapping goals.

What is the difference between Afternoon Google Mapping Driver vs Google Street View Photographer?

AspectAfternoon Google Mapping DriverGoogle Street View Photographer
Required CredentialsValid driver’s license, basic navigation skillsCamera operation skills, photography experience
Work EnvironmentDriving in urban/suburban areas, on-roadWalking or riding in vehicles, capturing images
Employer & Industry UsageGoogle, mapping servicesGoogle, mapping and virtual tour services
Common Search & ComparisonYesYes

The Afternoon Google Mapping Driver primarily focuses on driving routes to capture mapping data, requiring a valid driver’s license and navigation skills. In contrast, the Google Street View Photographer specializes in capturing high-quality images, often walking or riding in vehicles, with photography skills being essential. Both roles support Google’s mapping services but differ in work environment and skill requirements.

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What other helpful pages are available for Afternoon Google Mapping Driver?

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Afternoon Google Mapping Driver jobs near you
Infographic showing various Afternoon Google Mapping Driver job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $78,621 per year, or $37.8 per hour.

Software Engineer III, AI/ML, Foundational Lanes

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees
Learn more about Google Inc.external

Other

Re-posted 6 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

Job description

Software Engineer III, AI/ML, Foundational Lanes

Google Mountain View, CA, USA

Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Java, Python or C++.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience with one or more of the following: computer vision, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 2 years of experience with data structures and algorithms.
  • Experience in computational geometry.
Preferred Qualifications
  • Master's degree or PhD in Computer Science or related technical fields.
About the Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We are looking for engineers who bring fresh ideas from all areas including information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a software engineer, you will work on a critical project with opportunities to switch teams and projects as you grow.

Geo is on a strategic multi‑year initiative to drastically revamp the Driving Experience. The goal is for Google Maps to be the trusted copilot for drivers worldwide, enabling stress‑free, safe, and sustainable trips and helping users navigate with confidence.

Our team is responsible for the data quality of road and lane data attributes and the construction of geometries used to render roads with richer lane details on the map. We achieve this through automation: leveraging AI/ML techniques to extract road and lane data from Geo’s extensive corpus of sensor, imagery, and location data, and through geometric algorithms (including GenAI) to construct consistent and smooth road and lane shapes in both 2D and 3D.

The Geo team focuses on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits.

Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices and to maintain quality.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.
  • Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. See also Google's EEO policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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