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3D Lidar Segmentation Jobs (NOW HIRING)

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, polygons, and pixel-level semantic segmentation. * Identify, label, and classify objects and ...

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

... segmentation, multi-object tracking, and 3D perception. • Hands-on experience with modern AI ... LiDAR, depth sensors, and IMUs for robust real-time perception in dynamic human-centered ...

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

You will also integrate data from multiple modalities-Cameras, LiDAR, depth sensors, and IMUs-into ... segmentation, multi-object tracking, and 3D perception. * Hands-on experience with modern AI ...

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

... mapping, lidar, motorsport, and ride-sharing. We are a venture backed startup (Series B) with a ... instance segmentation and object/damage detection across 2D and 3D data. Experience & Skills ...

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction. * Develop and optimise multimodal networks fusing LiDAR ...

Showing results 41-60

3D Lidar Segmentation information

What are some common challenges faced by professionals working in 3D LiDAR segmentation, and how are they typically addressed?

Professionals in 3D LiDAR segmentation often encounter challenges such as dealing with noisy or incomplete data, managing large-scale datasets, and ensuring accurate object classification in complex environments. These challenges are commonly addressed through advanced preprocessing techniques, robust machine learning algorithms, and leveraging high-performance computing resources. Collaboration with data engineers, software developers, and domain experts is also essential to refine segmentation models and improve overall system performance.

What are the key skills and qualifications needed to thrive as a 3D LiDAR segmentation specialist?

To thrive as a 3D Lidar Segmentation Specialist, you need a strong background in computer vision, machine learning, and point cloud data processing, often supported by a degree in computer science, engineering, or related fields. Familiarity with tools such as Python, C++, ROS, and libraries like PCL and Open3D, as well as experience with deep learning frameworks (e.g., TensorFlow, PyTorch), is essential. Analytical thinking, attention to detail, and effective problem-solving are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These competencies ensure accurate scene understanding, efficient workflow, and the development of robust solutions for applications like autonomous vehicles and robotics.

What is 3D LiDAR segmentation?

3D Lidar segmentation is the process of dividing or clustering raw Lidar point cloud data into meaningful parts or objects, such as vehicles, pedestrians, buildings, or vegetation. This technique is crucial for applications like autonomous driving, mapping, and robotics, where understanding the environment in three dimensions is essential. By segmenting the data, algorithms can better identify and track objects, enabling safer navigation and more detailed scene analysis.
More about 3D Lidar Segmentation jobs

What cities are hiring for 3D Lidar Segmentation jobs?

Cities with the most 3D Lidar Segmentation job openings:

What states have the most 3D Lidar Segmentation jobs?

States with the most job openings for 3D Lidar Segmentation jobs include:

Infographic showing various 3D Lidar Segmentation job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, and 23% Remote job distribution.

Data Annotator

IntelliPro Group Inc.

San Francisco, CA • On-site

$35 - $40/hr

Contractor

Re-posted 4 days ago


Job description

Title: 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 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.

While the worker is scheduled for training, the Consultant must take full ownership of their responsibilities given the expected length of the assignment.
Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms.
You will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms.
Work closely with engineers to refine labelling guidelines and improve model performance.
Add additional notes here:
  • Essential Qualifications: Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning.
  • Preferred Experience: A minimum of three years of professional experience specific to Autonomous Vehicle data labelling.
  • Value Proposition: Emphasize that workers contribute to the fundamental safety and functional rollout of autonomous driving technology.
  • Critical Constraints: Requires full-time physical presence on-site, adherence to rigorous production benchmarks, and successful completion of a comprehensive background investigation.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.