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Full Time Machine Learning Data Annotation Jobs in Sunnyvale, CA

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$150K - $277K/yr

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Atoms

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

Perform quality control and labeling for images used for machine learning (ML) models * Manage a ... Benefits Summary (USA Full-Time Exempt Employees): * Medical, Dental, Vision, Disability, and Life ...

Waymo

Technical Specialist, ML Data

Mountain View, CA · On-site

... Machine Learning data annotation or Human-in-the-Loop initiatives. * Strong ability to thrive in a ... The expected base salary range for this full-time position across US locations is listed below.

Apple

Data Scientist

Sunnyvale, CA

$184K - $324K/yr

You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...

Apple

Data Scientist

Sunnyvale, CA · On-site

You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ... annotation, dataset QA, and robotics evaluation * Publish research on multimodal data by fine ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Sunnyvale, CA

Full Time Machine Learning Data Annotation information

See Sunnyvale, CA salary details

$44K

$144.1K

$230.6K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time machine learning data annotation in Sunnyvale, CA is $144,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $159,600.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Sunnyvale, CA?

The most popular types of Machine Learning Data Annotation jobs in Sunnyvale, CA are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Sunnyvale, CA?

For Full Time Machine Learning Data Annotation jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Sunnyvale, CA look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Full Time Machine Learning Data Annotation jobs?

Cities near Sunnyvale, CA with the most Full Time Machine Learning Data Annotation job openings:

Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $144,052 per year, or $69.3 per hour.

Data Annotation Analyst

ATOMS Careers page

San Francisco, CA • On-site

$71K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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

Job description

Who we are
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.
Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
If you want to work on hard problems with real-world impact, join us.
What you'll do
  • Perform quality control and labeling for images used for machine learning (ML) models
  • Manage a large team of remote labelers
  • Upload prioritized image data for labeling
  • Create and track metrics for labelers
  • Iterate on existing labeling guidelines for multiple types of computer vision tasks
  • Identify common errors in labeling
  • Communicate feedback and priorities to the labeling team
  • Work directly with the ML team

What we're looking for
  • Prior experience labeling or performing quality control for ML training data
  • Detail-oriented approach
  • Excellent communication skills and effective collaboration with members of the team
  • Familiarity with command-line interface tools preferred
  • Knowledge of labeling policies for multiple types of computer vision tasks
  • Experience with annotation platforms
  • Familiarity with spreadsheet tools or BI dashboards for tracking and visualizing labeler metrics
  • Exposure to version control (Git) or ticketing/workflow tools

Why join us
At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.
What else you need to know
This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $71,000 - $89,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
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