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Lidar Annotation Jobs (NOW HIRING)

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$101K - $127K/yr

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 ...

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 ...

Research Engineer, Multimodal Data

San Francisco, CA · On-site

$134K - $162K/yr

Physical AI teams have raw footage, lidar, radar, and sim outputs scattered across object stores with no way to find what they need without weeks of human annotation. We change that economics: we run ...

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 ...

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 ...

$150K - $190K/yr

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 ...

Showing results 21-40

Lidar Annotation information

See salary details

$50.5K

$111.3K

$137.5K

How much do lidar annotation jobs pay per year?

As of Sep 11, 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?

The top searched job categories for Lidar Annotation jobs are:

Infographic showing various Lidar Annotation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 40% Full Time, 55% Part Time, and 4% Contract. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA • On-site

Rivian
Automobile Dealers • 10K+ employees

$101K - $127K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Key responsibilities

  • Lead strategic planning and coordination of 3D/2D annotation projects, working with internal and external partners.

  • Manage vendor relationships, ensure quality of deliverables, resolve defects, and facilitate feature enhancements.

  • Conduct quality control on annotated datasets and analyze data insights to identify data gaps, quality issues, and inefficiencies.


Rivian rating

7.3

Company rating: 7.3 out of 10

Based on 160 frontline employees who took The Breakroom Quiz


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions‑free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

In this role, you will lead strategic planning and coordination of 3D/2D annotation projects, working closely with both internal and external partners. A key responsibility is rigorous vendor management, ensuring the quality of deliverables, resolving defects, and facilitating feature enhancements. The role also encompasses developing policies, setting precise labeling protocols, executing accurate 3D sensor data annotation, and conducting thorough quality control on all generated datasets. You will partner closely with Annotation Operations, Perception, and Engineering teams to ensure data readiness for model training and evaluation. The ideal candidate is data‑driven, detail‑oriented, and execution‑focused, with a strong understanding of annotation workflows and a passion for improving data quality and efficiency at scale. This role plays a critical part in enabling informed decision‑making, continuous process improvement, and scalable annotation operations across internal teams and external vendors.

Responsibilities Analyzing Data Insights
  • Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage gaps, and inefficiencies impacting Perception and ML training.
  • Utilize dashboards and reports to monitor annotation throughput, efficiency, and cost; quality metrics (QA pass rates, error types, rework); vendor and annotator performance trends.
  • Interpret complex annotation and perception data into clear, actionable insights for engineering, annotation operations, and leadership.
  • Partner with Perception teams to align data readiness metrics with model training and evaluation needs.
  • Effectively communicate data findings to business partners, bridging the gap between technical data and strategic organizational goals.
Annotation Operations & Quality
  • Assess the level of effort for annotation projects and support end‑to‑end execution, including in‑house vs. vendor decisions.
  • Collaborate with stakeholders to gather labeling requirements and define, maintain, and evolve labeling policies.
  • Manage relationships with various vendors, including contract and quote review, for third‑party annotation services and tools.
  • Define and track annotation quality, productivity, and certification metrics; continuously refine benchmarks.
  • Conduct QA/QC analysis on annotated data, identify systemic issues, and provide structured feedback to annotators and vendors.
  • Implement and measure labeling efficiency improvements, using data to validate impact.
Process Improvement & Automation
  • Prepare technical reports and collaborate with cross‑functional engineering teams to ensure consistent process implementation, with the ability to automate basic processes.
  • Identify opportunities to make data delivery and annotation workflows faster, more accurate, and scalable.
  • Identify and propose enhancements to address deficiencies in existing tooling, improving the efficiency and accuracy of annotation workflows.
Cross‑Functional & Vendor Collaboration
  • Work closely with Annotation Ops, Perception, and Engineering teams to ensure consistent process implementation.
  • Support vendor management by analyzing performance, cost, and quality metrics across multiple annotation partners.
  • Prepare technical and operational reports to support planning, execution, and decision‑making.
  • Coordinate across teams and time zones to ensure alignment and timely delivery.
Qualifications Required
  • BS degree in a technical or related field with 2+ years of relevant experience (or 5+ years equivalent industry experience).
  • 2+ years supporting data annotation, ML data, or labeling‑related projects.
  • Strong understanding of 2D/3D data annotation workflows for ML and Perception use cases.
  • Experience with error taxonomy development and quality assurance (QA) frameworks for data annotation.
  • Working knowledge of databases and/or data visualization tools.
  • 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 verbal communication skills, with the ability to explain project insights to non‑technical stakeholders.
  • Experience mentoring or guiding junior team members or offshore teams.
Nice to Have
  • Experience building or improving operational analytics for efficiency, cost, or quality.
  • Comfort working in a fast‑paced, cross‑functional, and collaborative environment.
  • Hands‑on experience with data analysis, metrics tracking, and dashboarding.
Pay Disclosure

The salary range for this role is $132,100.00 - $165,100.00 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

Benefits

We offer a comprehensive package of benefits for full‑time and part‑time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short‑term disability insurance, and long‑term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full‑time employee coverage is effective on their first day of employment. Part‑time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data when you apply for employment and/or participate in our recruitment processes. This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of tracking interactions with our recruiting system; carrying out, analyzing and improving our application, recruitment process; establishing an employment relationship; complying with legal, regulatory and corporate governance obligations; recordkeeping; ensuring network and information security and preventing fraud; and other required or permitted uses under applicable law.

Rivian may share your Candidate Personal Data with internal personnel, Rivian affiliates and service providers such as background checks and staffing services. Rivian may transfer or store internationally your Candidate Personal Data in the United States, Canada, the United Kingdom, the European Union and in the cloud.

Please note that we are currently not accepting applications from third party application services.

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009