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Google Annotation Jobs (NOW HIRING)

Advantage Tech

Business Analyst

Overland Park, KS

$75K/yr

... Make, Google Apps Script) that support AI-driven workflows and remove manual busywork ... Call Listening & Annotation: Review recordings daily; tag misclassifications, communication issues ...

Advantage Tech

Business Analyst

Overland Park, KS · On-site

Perform workflow training as needed. • Call Listening & Annotation: Review recordings daily; tag ... Accurately document outcomes; maintain clean logs; update lightweight trackers/dashboards (Google ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA

... 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 ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA · On-site

... 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 ...

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Google Annotation information

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$45K

$58.4K

$97.5K

How much do google annotation jobs pay per year?

As of Aug 12, 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 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.

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.

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:
What job categories do people searching Google Annotation jobs look for? The top searched job categories for Google Annotation jobs are:
Google Annotation jobs near you
Infographic showing various Google Annotation job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 8% Part Time, 38% Contract, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

Software Engineer, Labeling Infrastructure

Waymo

Mountain View, CA • On-site

$170K - $216K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of the ML Lifecycle: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.
In this hybrid role you will report to a Technical Lead Manager/Staff Software Engineer.
You will:
  • Build state of the art labeling infrastructure to enable production of labeled datasets.
  • Improve the "data flywheel" end to end efficiency through automation and monitoring.
  • Work with the labeling operations teams to hillclimb on process efficiencies and build tooling to manage large workforces and distribute tasks effectively.

You have:
  • Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
  • Experience developing data annotation/review tools. EG: Labeling for ML, Content Reviews for Trust and Safety, etc.
  • Experience building API servers, web backends.
  • Experience building, optimizing, debugging, and maintaining large scale data processing pipelines.
  • Proficiency in Typescript and/or Frontend frameworks (Angular, ReactJS).

We prefer:
  • Experience in developing diverse data annotation tooling and infrastructure.
  • Knowledge of the application of labeled datasets within the full ML ecosystem.
  • Experiencing programming using C++, Python.
  • Hands-on experience with LLM/GenAI-based products.

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$170,000-$216,000 USD

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