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How much do online mapping jobs pay per year?

As of Jun 8, 2026, the average yearly pay for online mapping in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in online mapping roles, and how can they be addressed?

Professionals in online mapping often encounter challenges such as ensuring data accuracy, handling large datasets, and keeping up with rapidly evolving mapping technologies. Collaborating closely with data analysts, GIS specialists, and software developers is essential to maintain up-to-date and reliable map information. Staying current with industry best practices and participating in regular team reviews can help overcome these obstacles. Additionally, proactive communication with cross-functional teams supports the timely identification and resolution of data or technical issues.

What are the key skills and qualifications needed to thrive as an Online Mapping Specialist, and why are they important?

To thrive as an Online Mapping Specialist, you need a solid understanding of geographic information systems (GIS), spatial analysis, and data visualization, often supported by a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), mapping tools, and sometimes programming languages like Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These competencies ensure the creation of accurate, user-friendly maps and support data-driven decision-making in various industries.

What are online mapping jobs?

Online mapping jobs involve working with digital maps and geographic data to improve the accuracy, usability, and detail of online mapping services. Common tasks include reviewing and editing map data, verifying location information, identifying errors, and sometimes adding new points of interest. These roles are often remote and may be part-time or freelance, making them accessible to people with basic computer skills and attention to detail. Online mapping jobs are popular with companies that maintain mapping platforms, such as Google Maps or Apple Maps.

What is the difference between Online Mapping vs GIS Technician?

AspectOnline MappingGIS Technician
Required CredentialsBasic GIS knowledge, sometimes certificationsAssociate's or Bachelor's in GIS, certifications often preferred
Work EnvironmentWeb-based platforms, remote workOffice, fieldwork, GIS labs
Industry UsageMapping websites, consumer appsGovernment, environmental, urban planning
Common Search/ComparisonYesYes

Online Mapping involves creating and maintaining web-based maps for public or commercial use, often requiring basic GIS skills. GIS Technicians perform detailed spatial data analysis, data management, and support GIS projects in various industries. While Online Mapping focuses on user-facing map services, GIS Technicians handle technical GIS tasks behind the scenes. Both roles require GIS knowledge but differ in complexity, environment, and purpose.

More about Online Mapping jobs
What cities are hiring for Online Mapping jobs? Cities with the most Online Mapping job openings:
What are the most commonly searched types of Mapping jobs? The most popular types of Mapping jobs are:
What states have the most Online Mapping jobs? States with the most job openings for Online Mapping jobs include:
What job categories do people searching Online Mapping jobs look for? The top searched job categories for Online Mapping jobs are:
Online Mapping jobs near you
Infographic showing various Online Mapping job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $40,596 per year, or $19.5 per hour.
Senior/Staff Engineer, Machine Learning - Online Mapping

Senior/Staff Engineer, Machine Learning - Online Mapping

Nuro

Mountain View, CA

$183K - $333K/yr

Other

Posted 1 hour ago

Job description

Senior/Staff Engineer, Machine Learning - Online Mapping

Mountain View, California (HQ)

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Team

Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines.

About the Role

Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation.

About the Work
  • Research, develop, and implement state-of-the-art online mapping models and algorithms.
  • Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system.
  • Work cross functionally with other ML teams to integrate our models into centralized architectures.
  • Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements.
About You
  • Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation.
  • Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in AV, robotics, mapping, computer vision, or related areas.
  • Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions.
  • Able to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions.
  • Experience with robotics-related ML applications, 3D geometry.
  • Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.
Bonus Points
  • Proficiency in working with complex multi-component systems.
  • Experience in building ML pipelines and optimizing/productizing ML models.
  • Familiarity with modern ML tools and infrastructure such as distributed training and ML compilers.
  • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
  • Deep understanding of 3D geometry and state estimation fundamentals.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,825 and $333,925 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

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