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Annotation Qa Jobs in California (NOW HIRING)

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... annotation, QA workflows, dataset management, augmentation, and versioning. • Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...

... annotation, curation, and quality review • Build and improve QA processes to ensure data output meets the standards required by frontier AI labs • Own product ops for the data platform. Work with ...

Showing results 21-40

Annotation Qa information

What is the difference between Annotation Qa vs Data Labeler?

AspectAnnotation QaData Labeler
Required CredentialsBasic technical skills, sometimes certifications in data annotation toolsBasic computer skills, sometimes certifications in labeling software
Work EnvironmentOffice or remote, collaborative with annotation teamsRemote or on-site, focused on labeling tasks
Industry UsageUsed in AI, machine learning, and data annotation companiesCommon in AI, machine learning, and data preparation sectors
Search & Comparison IntentOften compared for quality assurance roles in data annotationCompared for entry-level data preparation roles

Annotation Qa and Data Labeler roles are closely related in the data annotation industry. Annotation Qa focuses on quality assurance, reviewing and verifying labeled data, while Data Labelers perform the initial labeling tasks. Both require similar technical skills and work environments, but Annotation Qa emphasizes quality control processes. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.

What cities in California are hiring for Annotation Qa jobs? Cities in California with the most Annotation Qa job openings:
Infographic showing various Annotation Qa job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 3% Part Time, 8% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI/ML Data Contributor

TSMG

Los Angeles, CA

Part-time

Re-posted 15 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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