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Data Annotation Jobs in California (NOW HIRING)

Data Annotator Location: Sunnyvale, CA (Onsite) Contract: 06+ months Description: We are looking ... HD map annotation. The ideal candidate is a detail-oriented specialist who understands that the ...

CA · On-site

$26 - $29/wk

CNC Machinist II - Relocation Packages Available! (Menomonie, WI) Comrise is currently looking for a skilled CNC Machinist II to join our partner's team in Menomonie, WI , to perform intermediate to ...

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling using bounding boxes, cuboids, polygons. * Hands-on experience with 3D/2D annotation tools and the ...

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Data Labeling Associate

San Diego, CA

$17 - $22/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

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 ...

Apply Early

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 ...

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 ...

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 ...

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Data Annotation information

See California salary details

$8

$24

$52

How much do data annotation jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for data annotation in California is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $16.71 and $29.42 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Data Annotation jobs in California? For Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in California look for? The top searched job categories for Data Annotation jobs in California are:
What cities in California are hiring for Data Annotation jobs? Cities in California with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $51,398 per year, or $24.7 per hour.

Data Annotator

RLink Solutions

Sunnyvale, CA • On-site

Other

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


Job description

Job Title: Data Annotator

Location: Sunnyvale, CA (Onsite)

Contract: 06+ months


Description:


We are looking for a highly skilled Data Annotator to join our AV labs team. In this role, you will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms. You will handle complex tasks ranging from 3D object detection to granular semantic segmentation and HD map annotation. The ideal candidate is a detail-oriented specialist who understands that the safety of autonomous systems starts with the precision of the data used to train them.


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.

Conduct rigorous reviews of annotated data to ensure accuracy, consistency, and "pixel-perfect" quality.

Work closely with engineers to refine labeling guidelines and improve model performance.

Strictly follow project instructions and meet established deadlines and production KPIs without compromising on quality.

Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms.


Requirements:

-Bachelor’s degree; familiar with 3D scenes or possesses 3+ years of relevant data annotation experience.

-Proven experience in data annotation specifically within the Autonomous Driving sector.

-Hands-on experience working with various 3D/2D annotation tools.

-Strong knowledge of computer basics, data management techniques, and data analysis platforms.

-A proven track record of finding subtle anomalies and following specific guidelines without subjective interpretation.

-Ability to understand the relationship between datasets and attributes to aid in complex 3D categorization.

-Mental agility and the ability to pivot quickly between different project types.

-Be comfortable with working on-site 5 days a week.