Tejasvi Lalage

Process Executive / Senior Data Annotator – AI Data Annotation & Quality

NVIDIA

Apr 2022 - Aug 2026

Performed high-quality image and video annotation for autonomous vehicle and AI training datasets. Reviewed and labeled objects according to detailed project guidelines and annotation standards. Worked with 2D and 3D/LiDAR data to identify and classify road objects and environmental elements. Performed quality assurance reviews to identify annotation errors, inconsistencies, and guideline violations. Evaluated object positioning, classification, tracking continuity, occlusion, and truncation. Reviewed video sequences to ensure object tracking consistency across multiple frames. Identified missed, incorrect, duplicate, or improperly positioned annotations and provided corrective feedback. Performed Root Cause Analysis (RCA) for recurring quality issues and supported corrective actions. Used tools such as CVAT and Label box for annotation and quality review activities. Followed project-specific SOPs, annotation guidelines, quality standards, and productivity requirements. Maintained accuracy and consistency while handling high-volume annotation and review tasks. Supported QA activities by cross-checking annotations from multiple views and validating data against project requirements. Identified issues related to road markings, lane geometry, traffic signs, intersections, stop/yield lines, road networks, and other autonomous driving elements. Collaborated with team members and leads to clarifying guidelines and resolve complex annotation cases. Maintained focus on data accuracy, completeness, consistency, and overall dataset quality.