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Map Annotator Job Jobs (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 ...

Arthur Lawrence is looking for a Data Annotator one of our clients in Fremont, CA. Please find the ... Knowledge of HD mapping, road features, traffic landmarks, and autonomous driving data workflows.

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 ... HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of ...

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 ... HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of ...

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Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of ...

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 ... HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of ...

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How much do map annotator job jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for map annotator job in the United States is $37.08, according to ZipRecruiter salary data. Most workers in this role earn between $33.17 and $41.35 per hour, depending on experience, location, and employer.
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What cities are hiring for Map Annotator Job jobs? Cities with the most Map Annotator Job job openings:
Infographic showing various Map Annotator Job job openings in the United States 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 $77,128 per year, or $37.1 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.