Taimour Rao

Data Annotation Manager

ProjAIX • Temps plein

Jun 2022 - Present • 4 yrs

Worked as a Data Annotator contributing to AI models focused on automated car damage detection. Responsible for producing high-quality labeled datasets to train computer vision systems used in automotive inspection and insurance assessment solutions. *Key Responsibilities -Annotated vehicle images for various types of damages (scratches, dents, cracks, broken parts, paint damage). -Created precise bounding boxes, segmentation masks, and classification labels. -Followed detailed annotation guidelines to ensure dataset consistency and accuracy. -Conducted quality checks and peer reviews to maintain high annotation standards. -Reported edge cases and unclear data samples to improve annotation protocols. -Collaborated with AI engineers to refine labeling strategies and improve model performance. *Achievements -Consistently achieved high annotation accuracy (98%+ QA score, if applicable). -Contributed to datasets that improved damage detection model precision and recall. -Reduced annotation errors by identifying recurring labeling inconsistencies. -Recognized for speed and accuracy in high-volume annotation projects.

Data Annotator

Tristar AI • Temps plein

Apr 2023 - Dec 2024 • 1 yr 8 mos

Worked as a Data Annotator supporting computer vision projects for manufacturing environments. Labeled images and videos from factory floors to help train AI models that monitor production, detect defects, and track worker and machine activity. Used annotation tools to mark objects, production areas, and operational events with high accuracy and consistency. *Key Achievements: -Annotated large volumes of factory images and videos for AI training -Helped improve AI accuracy in detecting defects and production issues -Maintained high-quality and consistent annotations -Met tight deadlines on production monitoring datasets -Supported development of AI systems for real-time factory monitoring and analysis