1

Lidar Annotation Jobs (NOW HIRING)

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

... LiDAR, point cloud, or other unstructured datasets. * Familiarity with data architecture concepts from ingestion through storage and retrieval. * Exposure to annotation workflows, machine learning ...

Data Curation & Annotation Systems: Build robust internal QC, mapping, and annotation platforms ... Prior experience in self-driving data curation pipelines, spatial mapping, LIDAR, or 3D bounding ...

New

Build and maintain annotation software and other internal data tooling. Data Collection ... LIDAR * Robotics (platforms, sensors, or control) * Linux command line * Blender or Unity * Film/TV ...

New

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 ...

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

... cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into ... You'll primarily build the tooling and automation that powers our annotation, model training, and ...

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 ...

Build and maintain annotation software and other internal data tooling. Data Collection ... LIDAR * Robotics (platforms, sensors, or control) * Linux command line * Blender or Unity * Film/TV ...

Build and maintain annotation software and other internal data tooling. Data Collection ... LIDAR * Robotics (platforms, sensors, or control) * Linux command line * Blender or Unity * Film/TV ...

New

Build and maintain annotation software and other internal data tooling. Data Collection ... LIDAR * Robotics (platforms, sensors, or control) * Linux command line * Blender or Unity * Film/TV ...

Showing results 41-60

Lidar Annotation information

See salary details

$50.5K

$111.3K

$137.5K

How much do lidar annotation jobs pay per year?

As of Aug 21, 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 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 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 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.

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:

Infographic showing various Lidar Annotation job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, 7% Part Time, and 46% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Technical Program Manager - Data Operations Lead

Zoox

Foster City, CA

$163K - $223K/yr

Full-time

Medical, Life, PTO

Re-posted 14 days ago


Job description

We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:
  • Translate  and coalesce company-wide feature requirements into concrete and comprehensive data deliverables

  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. 

  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox. 

  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
$163,000 - $223,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job