Our partner is looking for a Data Annotation Analyst based in Spain.
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.
Success requires maintaining high quality and productivity while following detailed annotation specifications and handling ambiguous scenarios thoughtfully.
This is an opportunity to contribute to sophisticated AI applications while developing expertise in computer vision data and 3D spatial annotation.
Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
Review completed work, respond to QA feedback,



and consistently meet established quality and accuracy standards.
Document data quality and tooling issues clearly, including relevant details and reproducible steps.
Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, orientation, and relationships.
Ability to learn and navigate specialized software efficiently, including keyboard shortcuts and other productivity features.
Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets.
Experience with image annotation or GenAI data workflows.
Reliable high-speed internet and a distraction-free workspace suitable for focused, visually intensive work.
Ability to work on a company-provided machine within a controlled technical environment.
Associate or bachelor's degree is a plus.
Experience with image, video, LiDAR, or 3D annotation tools is preferred.
Background in subsurface util

📌 DATA ANALYST (España)
🏢 Jobgether
📍 España