This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Annotation Analyst based in Chile.

As a Data Annotation Analyst, you will help create high-quality ground-truth datasets used to train and validate perception models for autonomous and operator-assisted machines.
You will work with camera imagery, video, and LiDAR point clouds to identify and precisely label objects, people, terrain, and environmental features.
The role combines detailed visual analysis with specialized annotation tools, requiring accuracy, consistency, and strong spatial reasoning.
You will contribute directly to datasets that support advanced AI and machine perception systems operating in complex real-world environments.
Success requires maintaining high quality and productivity while following detailed annotation specifications and handling ambiguous scenarios thoughtfully.
You will collaborate with QA teams and fellow annotators through calibration sessions, guideline reviews, and regular feedback.




This is an opportunity to contribute to sophisticated AI applications while developing expertise in computer vision data and 3D spatial annotation.

Accountabilities:
- Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
- Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across visual sequences.
- Apply detailed annotation specifications covering class definitions, occlusion rules, object thresholds, and inclusion or exclusion criteria.
- Review completed work, respond to QA feedback, and consistently meet established quality and accuracy standards.
- Identify and escalate ambiguous scenes, sensor artifacts, tooling problems, and gaps in annotation specifications rather than making assumptions.
- Document data quality and tooling issues clearly, including relevant details and repro

📌 Data Annotation Analyst (Chile)
🏢 Jobgether
📍 Chile