1

Lidar Annotation Jobs (NOW HIRING)

Lead Perception Engineer

Palo Alto, CA

$120K - $158K/yr

Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs * Define ... Multi-modal data (camera, LiDAR, radar) Nice to Have * Dataset management & slicing * Experience ...

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs * Define ... Multi-modal data (camera, LiDAR, radar) Nice to Have * Dataset management & slicing * Experience ...

Civil Maps' artificial intelligence software aggregates raw 3D data from LiDAR (high-resolution ... annotation in current use. As a result, the company can quickly generate and maintain maps that ...

Civil Maps' artificial intelligence software aggregates raw 3D data from LiDAR (high-resolution ... annotation in current use. As a result, the company can quickly generate and maintain maps that ...

... annotation, or other formats as directed by the government customer, and develop and present ... Ranging (LiDAR) o Overhead Persistent Infrared (OPIR) o Multispectral Imaging (MSI) o Electro ...

next page

Showing results 1-20

Lidar Annotation information

See salary details

$50.5K

$111.3K

$137.5K

How much do lidar annotation jobs pay per year?

As of Jun 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 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:
Infographic showing various Lidar Annotation job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Sr. Software Engineer, Perception Data Infrastructure

Sr. Software Engineer, Perception Data Infrastructure

Nuro

Mountain View, CA

$193K - $291K/yr

Other

Posted 16 days ago


Job description

Sr. Software Engineer, Perception Data Infrastructure

Mountain View, California (HQ)

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models.

You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data.

Design and advance systems that:

  • Render and manipulate massive, multi-modal sensor datasets (Lidar, Camera, Radar) efficiently in UI environments.
  • Parse raw sensor data and manage complex data pipeline propagation between onboard hardware logs and offboard visualization.
  • Enforce strict data validation and annotation constraints to prevent upstream labeling errors from polluting downstream ML pipelines.
  • Create seamless, resilient API boundaries between our ML data pipelines and our Ground Truth/Data Platform infrastructure.

Tailor Your Impact:

  • The Critical Path Owner: You will step into a complex, evolving ecosystem, quickly bring order to ambiguity, unblock critical operational bottlenecks, and architect sustainable long-term solutions that empower the entire Autonomy organization.
  • High-Velocity Impact: You optimize the engineering lifecycle for autonomy progress. You know the exact trade-off between over-engineering a system and deploying a highly performant, pragmatic integration that keeps our data pipelines flowing.
About the Work

You'll solve autonomy's hardest data bottlenecks through systems rigor and infrastructure excellence:

  • Architect Core Data Platforms: Take formal technical ownership of our native, C++ based perception data visualization and annotation platforms.
  • Optimize 3D Rendering & Robotics Data: Solve deep performance bottlenecks related to rendering next-generation, high-density Lidar point clouds and multi-camera projections in real-time.
  • Defensive Engineering: Build robust data validation layers that catch sensor calibration errors, synchronization failures, and human labeling mistakes before they enter the ML training loop.
  • Cross-Functional Leadership: Act as the technical bridge between ML, Data and Infrastructure engineers, and labeling operations.
About You
  • BS/MS in Computer Science:, Software Engineering, Robotics, or a related quantitative field.
  • Experience: 4+ years of industry software engineering experience.
  • Language Fluency: Fluency in C++ and strong familiarity with Python are non-negotiable.
  • Ambiguity Navigator: Proven ability to lead cross-functional technical projects, bring order to complex codebases, and drive them to completion in ambiguous settings.
  • Systems Thinker: You possess deep practical experience in building robust, high-performance software systems or infrastructure. You care more about shipping integrated, impactful solutions than theoretical experimentation.
  • (Bonus) Robotics Expertise: Deep familiarity with robotics software stacks, sensor parsing, coordinate frames, and pipeline propagation.
  • (Bonus) Familiarity with 3D graphics/rendering: (WebGL, OpenGL), point cloud processing, or autonomous driving sensor data.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930.00 and $291,150.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.