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Lidar Annotation Jobs in California (NOW HIRING)

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$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 ...

Senior Perception Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

... Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs • Define ... camera, LiDAR, radar) • Dataset management & slicing • Experience with synthetic data or ...

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 ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$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 ...

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids ... ML goals, and new annotation platforms. You will be at the forefront of AI development ...

Showing results 21-40

Lidar Annotation information

See California salary details

$49.8K

$109.9K

$135.7K

How much do lidar annotation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for lidar annotation in California is $109,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $135,200.00 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 lidar annotation do?

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?

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.

What are the most commonly searched types of Lidar Annotation jobs in California? The most popular types of Lidar Annotation jobs in California are:
What job categories do people searching Lidar Annotation jobs in California look for? The top searched job categories for Lidar Annotation jobs in California are:
Infographic showing various Lidar Annotation job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $109,885 per year, or $52.8 per hour.

Isaac Sim Expert / Simulation Engineer

ConfigUSA

Mountain View, CA • On-site

Contractor

Re-posted 20 days ago


Job description

Simulation Engineer

Pre-Screening Questionnaire:

-Have you worked on an Isaac Sim project?

-Do you have exposure to simulation projects?

Must Have Technical/Functional Skills:

Proficiency in NVIDIA Isaac Sim, Omniverse, and synthetic data generation tools Strong understanding of CAD model handling and 3D asset integration Experience with Python, C++, and simulation scripting Familiarity with ROS/ROS2, Gazebo, Unity, or other simulation platforms is a plus Knowledge of computer vision and deep learning frameworks (PyTorch, TensorFlow, OpenCV) Prior experience in auto-labeling pipelines and dataset generation for AI models Publications, patents, or projects in simulation-based robotics development are a plus

Roles & Responsibilities:

Develop and maintain simulation environments using NVIDIA Isaac Sim and Omniverse Integrate CAD models and create synthetic datasets for training computer vision models Implement auto-annotation pipelines for object detection, segmentation, and tracking Simulate multi-sensor setups (camera, LiDAR, radar, depth sensors) for perception validation Support testing of vision-based algorithms in virtual environments before real-world deployment Collaborate with AI and robotics teams to simulate robotic tasks like pick-and-place, navigation, and human-robot interaction Optimize simulation performance and realism for accurate model training and testing

Generic Managerial Skills, If any:

The engineer will work closely with AI researchers and robotics engineers to simulate real-world scenarios and optimize perception systems..

Key Words to search in Resume:

Isaac Sim Expert, Simulation Engineer, Synthetic Data Generation, CAD Integration, Robotics Simulation, Omniverse, Auto-Annotation, Multi-Sensor Simulation, AI for Robotics

Education:

 Master’s/bachelor’s in computer science, AI, Robotics, or related field