Description
The Associate will execute high-volume 2D and 3D LiDAR annotation and segmentation work in accordance with SOPs, quality benchmarks, and productivity targets. The role requires maintaining classification accuracy, identifying annotation and tool issues, escalating quality risks, and collaborating with QA teams and stakeholders in English. Candidates need a diploma or higher qualification in a relevant technical field, foundational quality-control knowledge, spatial and logical reasoning, and familiarity with LiDAR annotation tools and ML data-quality principles.
