1

Google Annotation Jobs in Bothell, WA (NOW HIRING)

You will develop a deep understanding of our data annotation practices and assist in diagnosing ... Intermediate to advanced Google Suite and Confluence skills desired * Ability to assess high risk ...

Apply Early

Be Seen First

... annotation, and downstream interpretation. * Investigate genetic contributors to human immune ... Google Cloud, or Azure. Desired Skills and Attributes * Strong analytical and problem-solving ...

Google Annotation information

See Bothell, WA salary details

$50.3K

$65.3K

$109K

How much do google annotation jobs pay per year?

As of Jul 2, 2026, the average yearly pay for google annotation in Bothell, WA is $65,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $64,800.00 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 job?

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 popular job titles related to Google Annotation jobs in Bothell, WA? For Google Annotation jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Google Annotation jobs in Bothell, WA look for? The top searched job categories for Google Annotation jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Google Annotation jobs? Cities near Bothell, WA with the most Google Annotation job openings:
Infographic showing various Google Annotation job openings in Bothell, WA as of June 2026, with employment types broken down into 4% Internship, 4% As Needed, 71% Full Time, 4% Temporary, and 17% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $65,301 per year, or $31.4 per hour.
Deep Learning Quality Specialist

Deep Learning Quality Specialist

Carbon Robotics

Seattle, WA • On-site, Remote

Other

Posted 12 days ago


Job description

As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.

Our office is based in Seattle, WA, but this role can be fully remote. 

What you'll do:

  • Audit data to ensure clean and appropriate datasets
  • Look through imagery and correct labels and classifications then give feedback to labelers
  • Work closely with support to help investigate issues and determine what is needed to insure data integrity
  • Review data irregularities detected by automated tooling
  • Validate solutions, document results and record customer feedback
  • Translates field tests, model issues and analyze customer feedback
  • Prepare cases for field personnel to review labels/predictions
  • Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success:

  • Education or professional experience in agronomy & farming or data annotation
  • Highly motivated, independent thinker with great problem solving skills
  • Highly organized with excellent time management to juggle multiple priorities at the same time
  • Collaboration skills to work with customers and internal teams simultaneously
  • High level of attention to detail & the ability to think strategically
  • Detail-oriented, with proven ability to deliver accurate reporting
  • Intermediate to advanced Google Suite and Confluence skills desired
  • Ability to assess high risk situations & make safe independent decisions on a risk based process
  • Traveling required 10-15%