ZipRecruiter

Log In

1

Lidar Annotation Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). • Vectorized Map Annotation: Annotate and edit ...

Bot Auto

Data Annotation Specialist

Houston, TX

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). * Vectorized Map Annotation: Annotate and edit high ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). * Vectorized Map Annotation: Annotate and edit high ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Build and deliver tailored demonstrations that combine platform capability with live, real-world annotation results -- particularly for robotics, autonomous driving, and multimodal sensor data (LiDAR ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Build and deliver tailored demonstrations that combine platform capability with live, real-world annotation results - particularly for robotics, autonomous driving, and multimodal sensor data (LiDAR ...

Bedrock Robotics

Agentic Data Understanding

San Francisco, CA · On-site

$134K - $162K/yr

Familiarity with robotics data formats and sensor modalities (LiDAR, cameras, IMU). * Experience with annotation platforms. * Background in robotics, autonomous vehicles, or construction technology.

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo). * Experience with data annotation tools, dataset management, and augmentation techniques. * Familiarity ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... LiDAR, stereo). • Experience with data annotation tools, dataset management, and augmentation techniques. • Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or ...

next page

Showing results 1-20

All JobsLidar Annotation Jobs

Lidar Annotation information

See salary details

$50.5K

$111.3K

$137.5K

How much do lidar annotation jobs pay per year?

As of Jul 11, 2026, the average yearly pay for lidar annotation in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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

To excel as a Lidar Annotation specialist, you should have keen attention to detail, spatial awareness, and a basic understanding of data labeling or mapping concepts, often supported by a background in GIS, engineering, or related fields. Experience with specialized annotation software such as Labelbox, Scale AI, or Supervisely, as well as familiarity with point cloud data, is commonly required. Strong organizational skills, reliability, and clear communication abilities are highly valued in this role. These skills help ensure the accurate, consistent, and efficient annotation of large datasets, which is critical for applications like autonomous vehicles and mapping solutions.

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

A typical workday for a Lidar Annotation professional involves interpreting 3D point cloud data, drawing precise boundaries around objects, and labeling features according to strict project guidelines. You’ll often collaborate with data scientists, machine learning engineers, and project managers to clarify requirements and ensure high-quality outputs. Tasks can range from image segmentation and object classification to verifying the accuracy of other annotators’ work. The role generally offers a blend of independent, focused work with periodic team reviews or feedback sessions, contributing significantly to machine learning model development.

What is a Lidar Annotation job?

A Lidar Annotation job involves labeling and categorizing objects in 3D point cloud data collected by Lidar sensors. This process helps machine learning models recognize objects like cars, pedestrians, and buildings in autonomous driving, robotics, and mapping applications. Annotators use specialized tools to identify and classify data points, ensuring accuracy for AI training. Attention to detail and an understanding of spatial relationships are essential for this role.

More about Lidar Annotation jobs
What are the most commonly searched types of Lidar Annotation jobs? The most popular types of Lidar Annotation jobs are:
What states have the most Lidar Annotation jobs? States with the most job openings for Lidar Annotation jobs include:
What job categories do people searching Lidar Annotation jobs look for? The top searched job categories for Lidar Annotation jobs are:
Lidar Annotation jobs near you
Infographic showing various Lidar Annotation job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks. The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks.
Responsibilities:
• 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply