1

Google Annotation Jobs (NOW HIRING)

... Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning training data creation, annotation, and review as well as ...

... Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning training data creation, annotation, and review as well as ...

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... Google Cloud Storage, etc.) and distributed systems for managing large datasets. • Experience with data annotation tools and platforms for manual or semi-automated labeling. • Experience with NLP ...

Showing results 41-60

Google Annotation information

See salary details

$45K

$58.4K

$97.5K

How much do google annotation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for google annotation in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What is a Google Annotation?

A Google Annotation job involves labeling, tagging, or categorizing data—such as images, videos, or text—to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in their work. This role is crucial for improving AI systems used in search, automation, and recognition technologies. The job may require attention to detail and familiarity with different annotation tools.

What does a typical day look like for someone working in Google Annotation?

As a Google Annotation Specialist, your day often involves reviewing and labeling large volumes of data—such as images, text, or audio—according to specific project guidelines. You will work both independently and in collaboration with quality assurance teams to ensure consistency and accuracy in your annotations. Regular feedback sessions and periodic revisions are common as project requirements evolve. Many teams work in a fast-paced, deadline-driven environment, and attention to detail is key to meeting quality standards and supporting vital AI initiatives.

What are the key skills and qualifications needed to thrive in the Google Annotation position, and why are they important?

To thrive as a Google Annotation Specialist, you need strong attention to detail, analytical skills, and a basic understanding of data labeling principles, often supported by a background in computer science or related fields. Familiarity with annotation tools such as Labelbox, internal Google platforms, and spreadsheet software is typically required. Strong communication, time management, and the ability to follow detailed guidelines make candidates stand out in this position. These skills and qualities are vital to ensure high-quality labeled data, which is essential for training accurate machine learning models and supporting AI development.

More about Google Annotation jobs

What cities are hiring for Google Annotation jobs?

Cities with the most Google Annotation job openings:

What states have the most Google Annotation jobs?

States with the most job openings for Google Annotation jobs include:

Infographic showing various Google Annotation job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 65% Full Time, 11% Part Time, 4% Temporary, and 18% Contract. Highlights an 66% In-person, 7% Hybrid, and 27% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

Senior/Staff Software Engineer, Labeling Platform

Nuro

Mountain View, CA • On-site

$235K - $352K/yr

Full-time

Re-posted 5 days ago


Job description

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro's autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly. 

The platform team's mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.

About the Work

  • Build highly available, fault-tolerant systems for data annotation
  • Productionize core infrastructure for our state-of-the-art autonomy system
  • Elevate label quality by implementing data-driven metrics and monitoring
  • Apply cutting-edge ML research to automate and optimize the data labeling lifecycle

About You

  • You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
  • You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
  • You have experience leading cross-team projects and have excellent communication skills
  • You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
  • You have strong problem-solving and programming skills in Python, C++ or Go

Bonus Points

  • Experience building reliable large scale distributed systems 
  • Experience with observability, monitoring and incident management
  • Experience applying ML research in real world applications
  • Experience leading teams, designing and executing team roadmaps

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 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.