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From Home Lidar Annotation Jobs (NOW HIRING)

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 ...

$141K - $182K/yr

Quantum Optical Engineer - LiDAR, Vibrometry, and Entangled Communication Systems Location: Hoboken ... This position is based in Hoboken, NJ, with optional partial work-from-home flexibility. Occasional ...

Perception Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... and LiDAR data from our collection vehicles -- file handling, data verification, metadata ... storage and annotation vendors. • Collaborate with external annotation and labeling vendors ...

Senior MLOps Engineer

San Jose, CA · On-site

$120K - $180K/yr

... from data ingestion and labeling to training, evaluation, and performance monitoring. You'll ... Define annotation standards for camera and lidar tasks. * Build QA workflows, reviewer interfaces ...

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From Home Lidar Annotation information

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

As of Jun 9, 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.
More about From Home Lidar Annotation jobs
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:
What states have the most From Home Lidar Annotation jobs? States with the most job openings for From Home Lidar Annotation jobs include:
What job categories do people searching From Home Lidar Annotation jobs look for? The top searched job categories for From Home Lidar Annotation jobs are:
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.

Autonomy Engineer (Lidar perception)

Dexory

Wallingford, CT

Other

Medical, Life, Retirement

Posted 6 hours ago


Job description

At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we've built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed.

Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you'll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation.

The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you'll feel right at home here. When you apply, provide a few sentences why you think you're the right person for this role.

*We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture.

What does this role involve?
  • Developing and maintaining autonomy software for real-world robotic systems
  • Working with ROS 2, using modern C++ (17/20), and Python
  • Developing and maintaining our lidar odometry
  • Developing and maintaining our lidar-based SLAM approaches (we need a few)  
  • Collaborating with deployment teams to support complex field operations
  • Occasionally travel for hands-on deployment support
Requirements:
  • Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph SLAM, etc.)
  • Experience with pose graph optimization, scan matching, and sensor fusion
  • Familiarity with Open3D or PCL for point cloud processing.
  • Understanding of state estimation frameworks (e.g., EKF, UKF, graph-based methods, or factor graphs).
  • Evidence of past work: open-source contributions, competition results, or deployed systems
  • Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.).
  • Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base).
  • Understanding of sensor synchronization, timestamp alignment, and coordinate transformations.
  • Ability to design and validate sensor placement for optimal coverage and robustness.
  • Solid experience with ROS 2, C++, and Python
  • Familiarity with Linux, Git, CI/CD, and containerisation
  • Willingness to travel for hands-on deployment (when needed)
  • Strong communication and collaboration skills
Strong Advantage If You Have
  • Expertise in design robotic software at scale 
  • Experience with Lidar-based segmentation, or other perception pipelines
  • Contributions to open-source robotics projects
  • Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges
Benefits

Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:

  • Performance: High standards, outstanding results,
  • Impact: Big challenges, bigger results
  • Commitment: All in, every time
  • One team: One mission, shared success

Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. 

You will also receive:

  • Private healthcare via Bupa with 24/7 medical helpline 
  • Life insurance
  • Income protection 
  • Pension: 4+% employee with option to opt into salary exchange, 5% employer
  • Employee Assistance Programme - mental wellbeing, financial and legal advice/support 
  • 25 holidays per year 
  • Full meals onsite in Wallingford
  • Fun team events on and offsite, snacks of all kinds in the office 
AAP/EEO Statement 

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

Please note: We are unable to provide sponsorship or relocation for this role.