Associate Analyst — annotated and validated AI training data for robotics workflow project
3D Sensor
Object DetectionAnnotated and validated robotics workflow data for the Apollo Robotics project by labeling objects, actions, and environmental elements according to provided guidelines. Reviewed AI-generated annotations to identify labeling errors and corrected inconsistencies to keep the training datasets accurate and consistent. Applied predefined taxonomies and quality assurance standards to reach high annotation accuracy on large-scale datasets. • Labeled objects, actions, and environmental elements per annotation instructions. • Performed QA checks on both human and AI-generated annotations, correcting errors. • Followed taxonomies and guideline compliance requirements for consistency. • Collaborated with teams to resolve ambiguous annotation cases and improve model outcomes.