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From Home Lidar Annotation Jobs (NOW HIRING)

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to ... from you. What to Expect We're looking for a Data Annotations Lead to join our Data team and own ...

Aeva, Inc.

Perception Data Engineer

Mountain View, CA · On-site

$154K - $209K/yr

Develop Python and C++ infrastructure to ingest, validate, and organize camera and LiDAR data from ... Collaborate with external annotation and labeling vendors: package data for delivery, validate ...

Aeva, Inc.

Perception Data Engineer

Mountain View, CA

$135K - $162K/yr

Develop Python and C++ infrastructure to ingest, validate, and organize camera and LiDAR data from ... Collaborate with external annotation and labeling vendors: package data for delivery, validate ...

Aeva, Inc.

Perception Data Engineer

Mountain View, CA · On-site

$154K - $209K/yr

Develop Python and C++ infrastructure to ingest, validate, and organize camera and LiDAR data from ... Collaborate with external annotation and labeling vendors: package data for delivery, validate ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You are the expert who takes a prospect from first demo to a working proof of concept -- not just ... LiDAR, camera fusion, etc.) * Act as a trusted advisor to clients on annotation workflow design ...

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How much do from home lidar annotation jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for from home lidar annotation in the United States is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between From Home Lidar Annotation vs From Home Data Labeling Specialist?

AspectFrom Home Lidar AnnotationFrom Home Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires basic technical understanding
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAutonomous vehicles, roboticsVarious industries including automotive, healthcare, AI
Search & Comparison IntentUnderstanding lidar-specific annotation rolesGeneral data labeling roles

From Home Lidar Annotation involves annotating 3D point cloud data captured by lidar sensors, primarily for autonomous vehicle development. In contrast, From Home Data Labeling Specialist covers a broader range of data annotation tasks across multiple industries. Both roles are remote and require attention to detail, but lidar annotation is specialized for spatial and sensor data, making it more technical and industry-specific.

What are some common challenges faced when working remotely as a LiDAR annotation specialist, and how can they be overcome?

Working from home as a LiDAR annotation specialist can present challenges such as maintaining focus during repetitive tasks, communicating effectively with a remote team, and ensuring high annotation accuracy without in-person supervision. To overcome these, it's helpful to establish a structured daily routine, use collaboration tools (like Slack or Zoom) to stay connected with teammates and supervisors, and participate in regular quality checks or feedback sessions. Staying organized and proactively seeking clarification on ambiguous data can also help maintain productivity and quality.

What are the key skills and qualifications needed to thrive as a From Home Lidar Annotation Specialist, and why are they important?

To thrive as a From Home Lidar Annotation Specialist, you need attention to detail, spatial awareness, and familiarity with data labeling processes, often supported by a high school diploma or equivalent. Experience with specialized annotation software, Lidar point cloud tools (such as Labelbox or Supervisely), and basic computer proficiency is typically required. Strong time management, communication skills, and the ability to work independently help set candidates apart in remote settings. These capabilities ensure accurate, high-quality data annotation that is crucial for developing reliable AI and machine learning models.

What is a From Home Lidar Annotation job?

A From Home Lidar Annotation job involves labeling and categorizing LiDAR (Light Detection and Ranging) data, usually for use in mapping, autonomous vehicles, or robotics. Workers perform these tasks remotely, using specialized software to identify objects, boundaries, or features in 3D point cloud data collected by LiDAR sensors. This work helps improve machine learning models for object detection and navigation. Attention to detail and basic computer proficiency are important for this role, and prior experience with annotation tools can be an advantage.
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What cities are hiring for From Home Lidar Annotation jobs? Cities with the most From Home Lidar Annotation job openings:
What are the most commonly searched types of Lidar Annotation jobs? The most popular types of Lidar Annotation jobs are:
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From Home Lidar Annotation jobs near you
Infographic showing various From Home Lidar Annotation job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 19 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.
Role Overview
We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous driving system. In this role, you will be responsible for creating, refining, and validating the ground-truth data that powers our perception and mapping stacks. You will work directly with our engineering teams to ensure our models are trained on high-fidelity, ground-truth data that meets our rigorous safety standards.
Key Responsibilities
  • 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
  • Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
  • Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
  • Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
  • Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
  • Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Required Qualifications
  • Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
  • Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
  • Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird's Eye View).
  • Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
  • Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred Qualifications
  • Prior experience in data annotation for autonomous driving, robotics, or computer vision.
  • Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
  • Experience with 3D labeling tools.
  • Familiarity with HD maps.
Additional Information
  • Onsite Requirement: This position requires being onsite at our Houston, TX 5 days per week.
  • Benefits: Comprehensive benefits with the opportunity to work at the forefront of the autonomous trucking industry.
Why Bot Auto?
We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We recently successfully completed the industry's first fully humanless commercial truckload, proving that our vision is a reality. If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

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