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Data Annotator Jobs in California (NOW HIRING)

Data Annotator

San Francisco, CA ยท On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

Partner with the Data Strategy team to move toward a fully automated annotator hiring pipeline Who we're looking for * A rigorous instructional designer with a strong grounding in learning science ...

Partner with the Data Strategy team to move toward a fully automated annotator hiring pipeline Who we're looking for * A rigorous instructional designer with a strong grounding in learning science ...

Learning Design Lead

San Francisco, CA ยท On-site

$120 - $180/hr

Partner with the Data Strategy team to move toward a fully automated annotator hiring pipeline Who we're looking for * A rigorous instructional designer with a strong grounding in learning science ...

Software Engineer

Foster City, CA ยท Hybrid

$88.60/hr

... data. * Today, every label is produced by a human annotator from scratch. * We are building a pipeline that uses off-the-shelf foundation models (Gemini, SigLIP, CLIP) to pre-label tasks, so human ...

... rate, inter-annotator agreement, and pairwise preference scoring) Client Partnership ... Champion continuous improvement across data quality, tools, and delivery processes Required ...

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Showing results 1-20

Data Annotator information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data annotator jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data annotator in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a data annotator?

Data Annotators are professionals who label or tag data such as images, text, audio, or video to prepare it for use in machine learning and artificial intelligence (AI) models. Their work is crucial because accurately labeled data helps algorithms learn to recognize patterns and make decisions. Data annotators may use specialized software tools to highlight objects, transcribe speech, or classify documents according to specific guidelines. The quality and accuracy of their annotations directly affect the performance of AI systems.

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

To thrive as a Data Annotator, you need attention to detail, accuracy, and a basic understanding of data structures, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes basic coding skills are typically required. Strong organizational skills, patience, and the ability to follow precise guidelines make someone stand out in this position. These skills and qualities are crucial for producing high-quality datasets that drive effective machine learning and AI model development.

What are the typical challenges data annotators face when working with large datasets, and how can they overcome them?

Data Annotators often encounter challenges such as repetitive tasks, maintaining high accuracy, and dealing with ambiguous data points when working with large datasets. To overcome these, it's important to follow clear annotation guidelines, regularly communicate with team leads or project managers about uncertainties, and leverage quality control tools provided by the organization. Collaborating with peers and participating in review sessions can also help ensure consistency and improve the overall quality of the annotations.

What is the difference between Data Annotator vs Data Labeler?

AspectData AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsSimilar; often requires only basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Industry UsageUsed across AI, machine learning, and data science industriesCommonly used in AI and machine learning sectors for training data
Search & Comparison IntentOften compared due to similar tasks and roles in data preparation

Both Data Annotators and Data Labelers perform data preparation tasks for AI models, often with overlapping skills and work environments. The main difference lies in terminology used by employers or platforms, but their roles are largely similar, focusing on labeling data to improve machine learning algorithms.

How much does a data annotator make?

Data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer freelance or part-time work with variable pay rates, and proficiency with annotation tools can influence earning potential.

What exactly does a data annotator do?

A data annotator labels and tags data such as images, text, or audio to help machine learning models understand and learn from the data. This role involves using specialized tools and requires attention to detail to ensure accuracy, often working with large datasets on flexible schedules.

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

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

What cities in California are hiring for Data Annotator jobs?

Cities in California with the most Data Annotator job openings:

Infographic showing various Data Annotator job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Annotator

IntelliPro Group Inc.

San Francisco, CA โ€ข On-site

$35 - $40/hr

Contractor

Re-posted 23 days ago


Job description

Title: Data Annotator
Location: San Francisco, CA 94158
Duration: 6 Months
Pay Rate : $35-$40/hr
Top 3 Responsibilities
  • Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation.
  • Identify, label, and classify objects and environmental details according to strict project instructions and taxonomies.
  • Label static road features and traffic landmarks to assist in the creation of High-Definition (HD) maps.

While the worker is scheduled for training, the Consultant must take full ownership of their responsibilities given the expected length of the assignment.
Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms.
You will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms.
Work closely with engineers to refine labelling guidelines and improve model performance.
Add additional notes here:
  • Essential Qualifications: Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning.
  • Preferred Experience: A minimum of three years of professional experience specific to Autonomous Vehicle data labelling.
  • Value Proposition: Emphasize that workers contribute to the fundamental safety and functional rollout of autonomous driving technology.
  • Critical Constraints: Requires full-time physical presence on-site, adherence to rigorous production benchmarks, and successful completion of a comprehensive background investigation.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.