Have you ever wondered how self-driving vehicles and automated robotics actually perceive the physical world around them? It all starts with clean, remarkably detailed training data. At Appen, we are looking for detail-oriented individuals across the globe to step into the role of 3D and LiDAR Data Annotation Analyst. This is a fully remote, worldwide opportunity where you will directly help teach perception models how to interpret three-dimensional space, vehicles, people, and changing landscapes.

Role Overview

In this position, you work on the foundational layer of artificial intelligence. Autonomous machines rely on computer vision systems that must distinguish a pedestrian from a street sign in blinding rain, bright sunlight, or heavy shadows. You will spend your working hours inside specialized annotation software, shaping raw camera streams and dense LiDAR point clouds into accurate ground-truth datasets. Precision and consistency are your top priorities as you turn noisy sensor data into pristine algorithmic blueprints.

Key Responsibilities

Your day-to-day workflow centers on labeling complex environmental data with exceptional accuracy.

Annotate 2D and 3D objects across images, video sequences, and LiDAR point clouds, including vehicles, heavy machinery, pedestrians, road signs, and natural terrain.
Construct and maintain accurate semantic segmentation, object tracking vectors, skeletal poses, and spatial keypoints across consecutive visual frames.
Apply nuanced labeling specifications, accounting for strict occlusion rules, dimensional thresholds, and edge-case inclusion criteria.
Review your own annotations, incorporate QA feedback, and consistently hit established benchmarks for both quality and production volume.
Spot sensor artifacts, visually ambiguous scenes, software glitches, and guideline gaps, escalating them quickly to project leads.

Requirements

To succeed in this analytical position, you should bring strong spatial reasoning and technical curiosity.

Sharp spatial awareness and an intuitive ability to manipulate and visualize objects in three-dimensional coordinate space.
Meticulous attention to detail with the concentration to review intricate visual data without missing subtle discrepancies.
Comfort navigating web-based tools, specialized annotation platforms, and high-density point cloud software.
A dependable computer setup with a reliable high-speed internet connection capable of rendering complex 3D environments.
Solid written communication skills in English to interpret evolving technical briefs and collaborate with QA leads.
Previous experience with LiDAR, 3D cuboids, point clouds, or video tracking is an advantage, though dedicated learners are encouraged to apply.

What You Will Gain

Joining this initiative gives you hands-on exposure to the cutting-edge computer vision systems that power modern robotics and autonomous transport. You will enjoy total location flexibility, working from home anywhere in the world while collaborating with an international community of data professionals. In the process, you will sharpen your analytical eye and build practical experience at the forefront of applied artificial intelligence.