Lidar Data Annotator

1 - 6 years

2 - 6 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

LiDAR Data Annotation Specialist

Key Responsibilities

  • Accurately label

    3D LiDAR point clouds

    including vehicles, pedestrians, cyclists, road elements, and environmental features according to project guidelines.
  • Create and manage

    bounding boxes, semantic/instance segmentation, cuboids

    , and object tracking annotations on LiDAR datasets.
  • Ensure

    data quality, consistency, and accuracy

    by conducting regular validation checks and corrections.
  • Work with annotation and visualization tools such as

    Labelbox, CVAT, Supervisely, Scale AI, or proprietary platforms.

  • Collaborate with QA leads, data scientists, and engineering teams to clarify labeling requirements and improve annotation workflows.
  • Maintain documentation of annotation processes, conventions, and project progress.
  • Provide feedback on annotation tool improvements and workflow enhancements.

Required Qualifications

  • 1 to 5 years

    of experience in data annotation with a strong focus on

    LiDAR/3D point cloud annotation (mandatory)

    .
  • Proficiency in LiDAR annotation tools and software (Labelbox, CVAT, Supervisely, etc.).
  • Strong understanding of LiDAR data structures, formats and 3D annotation concepts such as cuboids and semantic segmentation.
  • Excellent

    attention to detail

    , accuracy, and ability to meet project targets.
  • Good communication skills with the ability to follow complex guidelines and collaborate in a team environment.

Preferred / Good-to-Have Skills

  • Exposure to

    autonomous driving, robotics, ADAS, or perception systems

    projects.
  • Knowledge of 2D image annotation and multi-sensor fusion techniques.
  • Experience with quality assurance processes for annotated datasets.

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