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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 ...

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ... Flexible vacation and work-from-home days. * Competitive salary and meaningful equity. * Health ...

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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 Jul 26, 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:
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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 July 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 17% In-person, and 83% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

New York, NY • Remote

$20/hr

Full-time, Part-time

Posted 17 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology