Remote Data Annotation

We are hiring an experienced annotation team for a remote data labeling project focused on autonomous driving and parking scenarios.

This is a long-term, scalable opportunity with consistent workload.

Data Scope

Driving Scenes:

Obstacles
Lane lines
Traffic lights
Traffic signs

Parking Scenes:

Obstacles
Semantic segmentation
Parking slot labeling
Task Types
2D Annotation
3D Annotation
4D Annotation (spatio-temporal tracking across frames)
Requirements
Proven experience in automotive / autonomous driving annotation
Strong understanding of multi-dimensional labeling (2D/3D/4D)
Ability to manage complex workflows and large datasets
Reliable quality control (QC) processes
Secure handling of sensitive data
Team capacity for ongoing, high-volume work