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Data Annotation Specialist Jobs in California (NOW HIRING)

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Data Annotation Specialist information

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$27.6K

$72K

$86.8K

How much do data annotation specialist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data annotation specialist in California is $71,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $85,900.00 per year, depending on experience, location, and employer.

What is a data annotation specialist?

Data Annotation Specialists are professionals who label and categorize data—such as images, text, audio, or video—to make it usable for machine learning models and artificial intelligence systems. Their work ensures that algorithms can accurately interpret data by providing clear examples of what different data points represent. Tasks may include drawing bounding boxes on images, transcribing audio, or tagging keywords in text. This role is crucial for improving the accuracy and reliability of AI applications across various industries.

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

To thrive as a Data Annotation Specialist, you need a keen attention to detail, strong analytical abilities, and basic knowledge of data labeling concepts, often supported by a high school diploma or relevant coursework. Familiarity with data annotation tools (such as Labelbox or Supervisely), basic computer skills, and sometimes an understanding of programming languages like Python are valuable. Excellent communication, time management, and the ability to follow guidelines precisely help you stand out in this position. These skills ensure accurate and consistent data labeling, which is essential for training reliable machine learning models.

What are some common challenges a data annotation specialist faces, and how can they be addressed?

Data Annotation Specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data, managing repetitive tasks, and understanding complex annotation guidelines. To overcome these, it's important to stay detail-oriented, take regular breaks to avoid fatigue, and seek clarification on ambiguous instructions. Collaborating with team members and participating in quality review sessions can also help ensure consistency and improve annotation quality over time.

What is the difference between Data Annotation Specialist vs Data Labeler?

AspectData Annotation SpecialistData Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer certifications in data management or annotation toolsTypically high school diploma or equivalent; minimal formal requirements
Work EnvironmentOffice or remote; often involves using specialized annotation softwarePrimarily remote or in-house; focuses on labeling data within specific datasets
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI and machine learning industries for training data
Job FocusInvolves detailed annotation, quality control, and understanding project guidelinesFocuses on labeling data accurately according to instructions

While both roles involve working with data to train AI models, Data Annotation Specialists typically handle more complex annotation tasks and quality assurance, whereas Data Labelers focus on straightforward labeling tasks. The Specialist role often requires a deeper understanding of project guidelines and may involve using advanced annotation tools.

Does data annotation specialist actually pay you?

A data annotation specialist is a paid role that involves labeling data for machine learning models. Compensation varies depending on the employer, project, and whether the work is freelance or full-time, but most positions offer hourly or project-based pay. Skills in tools like labeling software and attention to detail are often required.

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

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

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

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

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

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

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

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

Data Annotation Specialist jobs near you
Infographic showing various Data Annotation Specialist job openings in California as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $71,991 per year, or $34.6 per hour.

Operations & Data Annotation Specialist

Cupertino, CA • On-site

Avanciers Inc.
See more jobs at Avanciers Inc.external

Other

Posted 4 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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