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Data Annotation Tech Jobs in California (NOW HIRING)

Encord

Strategic Projects Lead

San Francisco, CA · On-site

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Arthur Lawrence

Data Annotator

San Francisco, CA · On-site

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

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How much do data annotation tech jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data annotation tech in California is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $26.83 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What are the most commonly searched types of Data Annotation Tech jobs in California?

The most popular types of Data Annotation Tech jobs in California are:

What are popular job titles related to Data Annotation Tech jobs in California?

For Data Annotation Tech jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech jobs in California look for?

The top searched job categories for Data Annotation Tech jobs in California are:

What cities in California are hiring for Data Annotation Tech jobs?

Cities in California with the most Data Annotation Tech job openings:

Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $46,890 per year, or $22.5 per hour.

Operations & Data Annotation Specialist

Cupertino, CA • On-site

Avanciers Inc.
See more jobs at Avanciers Inc.external

Other

Posted 5 days ago

Job description

Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a Contract role for one of our premier client in USA for Operations & Data Annotation Specialist


Role: Operations & Data Annotation Specialist

Location: Los Angeles, CA / San Diego, CA / Cupertino, CA


Position Summary

The Operations & Data Annotation Specialist will support data annotation and validation workflows by assisting with QA audits, annotation tool configuration, task tracking, test-plan execution, and operational reporting. The role requires strong attention to detail, process compliance, and coordination with cross-functional teams.

Key Responsibilities

  • Support data annotation and validation operations according to defined processes and guidelines.
  • Perform QA audits and review annotation quality for accuracy and consistency.
  • Configure and maintain annotation tools and task workflows.
  • Track annotation tasks, priorities, issues, and completion status.
  • Support test-plan execution and document results, defects, and observations.
  • Prepare operational and quality reports for project stakeholders.
  • Identify process gaps and escalate quality or operational issues.
  • Coordinate with data, QA, engineering, and operations teams to resolve workflow issues.
  • Maintain accurate documentation and ensure compliance with established procedures.

Required Qualifications

  • 2–3 years of experience in data annotation, QA operations, data operations, or a related field.
  • Experience working with annotation or data-labeling tools.
  • Understanding of QA audits, task tracking, and quality processes.
  • Experience supporting test plans and operational reporting.
  • Strong attention to detail and analytical skills.
  • Good communication and stakeholder coordination skills.
  • Ability to work onsite and manage multiple operational priorities.

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