LiDAR 3D Annotation, Data Labeling Specialist

This is a fully remote position, open to applicants in Bangladesh.

📋 Description

• Accurately fit compact 3D cuboids around vehicles, pedestrians, cyclists, and static structures within frame sequences.

• Assign labels to individual points within dense point clouds for the purpose of 3D semantic segmentation.

• Review, refine, and audit AI-generated 3D bounding boxes for quality assurance.

• Confirm sensor fusion alignments between LiDAR and 2D camera feeds.

• Monitor dynamic objects across multi-frame LiDAR scenes.

• Maintain consistency in pitch, roll, yaw, and heading vectors.

• Evaluate spatial guidelines and practices using sample 3D point cloud datasets.

• Complete benchmark annotation tasks while meeting quality and speed standards.

• Finish the onboarding and certification process.

• Gain access to ongoing paid project batches upon successful certification.

⛳️ Requirements

• At least 6+ months of practical experience in 3D LiDAR point cloud annotation, 3D segmentation, or multi-sensor data labeling.

• Demonstrated proficiency in using 3D spatial software such as Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or similar platforms.

• Capability to maintain an accuracy rate of 95% or higher.

• Ability to comply with strict cuboid boundary rules, point-count density thresholds, and occlusion management.

• Skill in objectively segmenting visually verifiable 3D spatial geometry without relying on unverified assumptions.

• Proficiency in using software shortcuts and hotkeys for efficient 3D sequence workflows.

• Ability to operate background screen-recording tools effectively.

• Dependable, detail-oriented, and comfortable working in a structured, quality-focused environment.

• A stable internet connection is required.

• A capable PC or laptop for performing 3D rendering tasks.

• Compatibility with screen-recording software.

• Availability to work 25–40 hours per week.

🏝️ Benefits

• Paid certification/onboarding process (~1 hour, compensated upon entering production tasks).

• Access to ongoing paid project batches.

• Priority access to advanced, higher-paying autonomous vehicle and spatial AI projects for top-performing contributors.

• Payment options include PayPal, Bank Transfer, or Payoneer.

• Long-term contract opportunities.

• Remote-first work environment.