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Lidar Annotation Jobs (NOW HIRING)

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

Experience analyzing LiDAR point clouds, video, and image annotation data. * Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines. * Strong written and ...

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Arthur Lawrence

Data Annotator

San Francisco, CA · On-site

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using LiDAR point clouds, orthophotos, or 2D/3D annotation tools. * Strong spatial awareness, attention to ...

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Map Annotator

Sunnyvale, CA · On-site

$40 - $43/hr

Hands-on experience working with 3D/2D annotation tools, specifically navigating and manipulating LiDAR point clouds and orthophotos. * Exceptional spatial awareness and the ability to understand ...

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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 · 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 ...

Teleo

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 ...

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 ...

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Lidar Annotation information

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$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:

What job categories do people searching Lidar Annotation jobs look for?

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Lidar Annotation jobs near you
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.

Staff Machine Learning Engineer - Uber AI Solutions

Uber Technologies, Inc.

San Francisco, CA • On-site

Full-time

Retirement

Posted 15 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description


Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and feedback they learn from, and that is the work we do.
We are an agile team moving at startup speed with the full weight of Uber behind us: global reach, world class infrastructure, and one of the largest human networks in the world. We pair that network with machine learning to produce the high quality, model ready data that the most advanced AI teams on earth depend on. Our work spans every modality, from text, images, and video to audio and physical AI and AVs, and reaches across dozens of countries.
This is a place for builders who want real ownership. Here you own a problem, not a ticket: you take a vertical from start to finish, the machine learning, the backend systems, and the product, and drive it from a blank page to something the best customers in AI rely on every day. You work shoulder to shoulder with product managers and other exceptional engineers, go as deep as the problem demands, and make the calls that decide whether your area wins. It is the closest thing to running your own company, with a rocket strapped to it.
If you want your work to show up in the AI systems shaping the world, and you want to build it like a founder, this is the team.
What You'll Do
  • Build the ML and backend systems that turn your vision into a product customers pay for and rely on, going as deep as the problem requires.
  • Own your vertical end to end: find the opportunities, set the direction, and drive the business metrics that matter, such as revenue, adoption, and customer value.
  • Move fast in ambiguity: prioritize ruthlessly, make the calls, and turn ideas into shipped, revenue generating products with a product manager and a small senior team.
  • Be a trusted technical partner in the customer relationship where relevant, using what you learn to grow the account.
  • Raise the bar on execution and quality so your business can scale.

Basic Qualifications
  • Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
  • 5+ years of professional experience designing, building, and operating production ML systems, including strong backend engineering across the full path from data to serving.
  • Track record of driving business impact, not just shipping features: you have owned a product or product line and helped move metrics such as revenue, adoption, or customer value.
  • Fluency in Python for machine learning and a production systems language such as Go, Java, or C++, and the ability to build reliable services and run them in production.
  • Comfort operating in ambiguity and moving fast: you find the highest value problems yourself, make the call, and drive them without waiting to be told.
  • Excellent communication skills, with the ability to align customers, product, and engineering around what will grow the business.

Preferred Qualifications
  • Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
  • You have grown a product or business line in a startup or startup like environment, owning outcomes end to end and treating revenue and customer growth as your job.
  • Experience applying machine learning to a real world data or evaluation domain, such as physical world data collection, RL environments and agentic evaluation, multilingual or audio data, or data quality and verification, where success was measured by business impact rather than model metrics alone.
  • Direct experience with GenAI and LLM systems in production, including evaluation harnesses, model tuning, forced alignment or ASR, or pipelines that keep a model in the loop.
  • Depth in one or more UAIS domains: real world and physical world data such as POI and embodied capture, agentic RL environments, multilingual and multimodal ML, video and LiDAR annotation, or physical AI and robotics data.

Responsibilities
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About Us
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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