Data Labeller
TextText Summarization
Annotated and labeled 25,000+ high-resolution images, LiDAR point clouds, and video frames for autonomous driving perception models and multimodal foundation models using Scale's proprietary Data Engine and Remotasks platform
Performed complex tasks including 3D cuboid annotation, semantic segmentation, instance segmentation, keypoint detection, and RLHF-style preference ranking for LLMs with strict ≥99% accuracy targets per QA guidelines
Contributed to safety-critical datasets used by leading autonomous vehicle companies and generative AI labs, identifying edge cases (e.g., rare occlusions, adverse weather, multilingual prompts) and providing detailed feedback to improve labeling rubrics
Annotated and labeled 25,000+ high-resolution images, LiDAR point clouds, and video frames for autonomous driving perception models and multimodal foundation models using Scale's proprietary Data Engine and Remotasks platform Performed complex tasks including 3D cuboid annotation, semantic segmentation, instance segmentation, keypoint detection, and RLHF-style preference ranking for LLMs with strict ≥99% accuracy targets per QA guidelines Contributed to safety-critical datasets used by leading autonomous vehicle companies and generative AI labs, identifying edge cases (e.g., rare occlusions, adverse weather, multilingual prompts) and providing detailed feedback to improve labeling rubrics
2024 - 2025