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Data Annotator Jobs (NOW HIRING)

RLink Solutions

Data Annotator

Sunnyvale, CA · On-site

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 ...

Arthur Lawrence

Data Annotator

Fremont, CA · On-site

Arthur Lawrence is looking for a Data Annotator one of our clients in Fremont, CA. Please find the below and send us your updated resume if interested: Must-Have Skills: * Experience in autonomous ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · 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 ...

IntelliPro Group Inc.

Data Annotator

Sunnyvale, CA · On-site

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

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IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

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 ...

IntelliPro Group Inc.

Data Annotator

Sunnyvale, CA · On-site

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

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Data Annotator information

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$46K

$165K

$243.5K

How much do data annotator jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Data Annotators?

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 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.

What is the role of a data annotator?

A data annotator is responsible for labeling and categorizing data such as images, text, or videos to help machine learning models understand and process information. This role often involves using annotation tools and requires attention to detail to ensure data accuracy, which is essential for training effective AI systems.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer project-based pay or part-time schedules, and familiarity with annotation tools can improve earning potential.

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 a data annotation job?

A data annotation job involves labeling or tagging data such as images, text, or videos to help machine learning models understand and process information. Annotators typically use specialized tools and need attention to detail to ensure data accuracy, which is essential for training AI systems effectively.

What 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. They often use specialized tools and need attention to detail to ensure accuracy, supporting AI development and data quality. The role typically requires good organizational skills and may involve working with large datasets on flexible schedules.

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.
More about Data Annotator jobs
What cities are hiring for Data Annotator jobs? Cities with the most Data Annotator job openings:
What are the most commonly searched types of Data Annotator jobs? The most popular types of Data Annotator jobs are:
Who are the top companies hiring for Data Annotator jobs? The top employers for Data Annotator jobs are:
What states have the most Data Annotator jobs? States with the most job openings for Data Annotator jobs include:
What job categories do people searching Data Annotator jobs look for? The top searched job categories for Data Annotator jobs are:
Data Annotator jobs near you
Infographic showing various Data Annotator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 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.

Apply