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Online Map Evaluator Jobs (NOW HIRING)

Wheel the World

Lead ML Engineer - Mapping

Ann Arbor, MI · On-site

$225 - $275/hr

Stay at the research frontier by evaluating, adapting, and innovating cutting‑edge techniques. This includes online vectorized HD map construction, end‑to‑end mapping models, and vision/fusion ...

New

May Mobility

Lead ML Engineer - Lane & Route Network Mapping

OR · On-site +1

$102K - $134K/yr

Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and vision/fusion Foundation ...

Posted today

Town of Fairfield

GIS Analyst

Fairfield, CT

$97K/yr

... service area evaluations. Supports asset management systems and coordinates with pavement ... Public Engagement & Communication Designs and maintains public-facing GIS applications, online maps ...

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How much do online map evaluator jobs pay per year?

As of Aug 19, 2026, the average yearly pay for online map evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is an online map evaluator?

Online Map Evaluators are individuals who assess and improve the quality and accuracy of online maps used by search engines and mapping services. They analyze map data, verify business listings, check for correct location information, and ensure that search results are relevant and up to date. This role is often remote and may involve following specific guidelines to evaluate map content for accuracy, completeness, and relevance. Online Map Evaluators play a crucial part in helping companies deliver reliable mapping information to users.

What are the key skills and qualifications needed to thrive as an online map evaluator?

To thrive as an Online Map Evaluator, you need strong analytical thinking, attention to detail, and familiarity with digital mapping platforms, typically supported by a high school diploma or higher. Proficiency with web-based evaluation tools, internet research, and sometimes proprietary mapping software is commonly required. Excellent communication, time management, and the ability to follow detailed guidelines are crucial soft skills in this remote role. These skills ensure accurate map data quality assessments, efficient task completion, and valuable feedback for improving mapping services.

What are some common challenges faced by online map evaluators, and how can they be managed effectively?

Online Map Evaluators often encounter challenges such as interpreting ambiguous map data, staying updated with frequent changes in mapping guidelines, and ensuring consistency across various map features. To manage these effectively, evaluators should regularly review training materials, actively participate in team forums or discussions to share insights, and meticulously follow the provided evaluation criteria. Developing strong attention to detail and maintaining open communication with project leads can also help address uncertainties and improve the quality of evaluations.
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Online Map Evaluator jobs near you
Infographic showing various Online Map Evaluator job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Senior/Staff Engineer, Machine Learning - Online Mapping

Nuro

Mountain View, CA • On-site

$124K - $170K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Nuro is a self-driving technology company focused on making autonomy accessible to all. They are looking for an ML Software Engineer to join their Online Mapping team to work on the design and implementation of onboard mapping models and algorithms, as well as data management and training pipelines.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Nuro is a robotics company specializing in the development of autonomous driving technologies. Founded in 2016, the company is headquartered in Mountain View, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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