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From Home Lidar Annotation Jobs (NOW HIRING)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Our team consists of individuals with varying levels of experience and backgrounds, from new ... RGB-D, LiDAR, stereo). * Experience with data annotation tools, dataset management, and ...

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

... cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into ... Build and maintain the pipelines that move data from deployed sensors → annotation → model ...

Visia

ML Engineer

Manhattan, NY

$170K - $185K/yr

... cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into ... Build and maintain the pipelines that move data from deployed sensors → annotation → model ...

Applied Intuition

Data Quality Specialist

Sunnyvale, CA · On-site

$30 - $45/hr

Familiarity with data annotation tools and workflows * Experience with data validation techniques ... Experience with sensor data (LiDAR, radar, camera) from autonomous vehicles * Strong problem ...

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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:
From Home Lidar Annotation jobs near you
Infographic showing various From Home Lidar Annotation job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 20% In-person, 20% Hybrid, and 60% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

3D Data Annotator (3‑Month Temp‑to‑Perm)

Overland AI

Seattle, WA • On-site

$90K - $130K/yr

Temporary

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary
Overland AI is looking for a meticulous and spatially-aware 3D Data Annotator to join our team. You will work directly with 3D data captured from our autonomous vehicle platforms, providing the high-quality, ground-truth annotations that drive our AI models.
This role requires a strong, intuitive understanding of 3D space. It is an excellent fit for professionals who already have experience navigating complex spatial data, such as those with backgrounds in GIS, game level design, 3D modeling, or architecture.
*This position is expected to last approximately three months with potential to convert to a regular full-time position based on performance and business needs (see more details below)*
Key Responsibilities
  • Use specialized software tools to accurately label and annotate objects, terrains, and surfaces within complex 3D datasets.
  • Interpret raw point cloud data and 3D environments captured by our autonomous vehicle sensor suites.
  • Maintain strict adherence to annotation guidelines to ensure high standards of data quality and consistency.
  • Collaborate with the engineering team to refine labeling guidelines and provide feedback to improve tooling workflows.
  • Identify and document edge cases, anomalies, or unexpected variables within the collected sensor data.

Minimum Qualifications
  • 3+ years of experience in 3D annotation, 3D modeling, GIS, level design, architectural drafting, or related spatial data field
  • Demonstrated experience using at least one 3D software tool (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity, CloudCompare, or similar)

Desired Qualifications & Experience
  • Direct experience with LiDAR point cloud processing, photogrammetry workflows, or autonomous vehicle sensor data
  • Proven ability to interpret and manipulate point cloud data, 3D meshes, or volumetric datasets
  • Demonstrated proficiency in navigating, manipulating, and interpreting 3D spatial environments.
  • Track record of producing annotation, modeling, or drafting work that meets defined quality standards and specifications
  • Proven ability to follow technical guidelines and maintain consistency across large datasets (demonstrated through prior work samples or references)
  • Familiarity with version control or annotation quality assurance processes
  • Experience collaborating with engineering or data science teams in an iterative development environment
  • Prior experience working specifically with autonomous vehicle data, LiDAR point clouds, or photogrammetry.
  • Familiarity with common 3D, GIS, or engine software tools (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity).

Location
This position will be located on-site in Seattle, WA.
This is a temporary-to-permanent position based in Seattle, WA. You will begin employment with Overland AI in a temporary, non-exempt, capacity for an anticipated period of approximately 3 months. Following the temporary period, Overland may, in its sole discretion, offer to convert your employment to a regular full-time position based on business need, role performance, and other factors. Conversion is not guaranteed.
Compensation
Temporary annualized salary of : $90,000 - $130,000, depending on experience, skills, and qualifications. Anticipated full-time annualized salary range upon conversion: $90,000 - $130,000, depending on experience, skills, and qualifications. You will be eligible for overtime at one and one-half times your regular rate for all hours worked over 40 in a workweek during the temporary period.
Benefits During the Temporary Period
From your first day of employment, you will receive the benefits required by Washington and Seattle law, including paid sick and safe time (accruing from day one and usable beginning on the 90th calendar day of employment), Washington Paid Family and Medical Leave coverage, workers' compensation, and unemployment insurance coverage. You will be paid at or above the applicable Washington state and Seattle minimum wage.
Benefits Upon Conversion to Full-Time
If your employment is converted to a regular full-time position, you will become eligible for Overland's full benefits package on the date of conversion.
Full time Benefits include:
  • Equity compensation
  • Best-in-class healthcare, dental, and vision plans
  • Flexible PTO
  • 401(k) with company match
  • Parental leave

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.
This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.
Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [peopleops@overland.ai] to request an accommodation.

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