Data Annotator, Virtual Assistant, IT SupportData Annotator, Virtual Assistant, IT Support

Key Achievements:

Annotated and labeled multimodal datasets (text, images, audio) to train AI models for natural language processing (NLP) applications. Followed rigorous guidelines to ensure data quality, consistency, and relevance for machine learning workflows. Collaborated with linguists and engineers to refine annotation protocols, improving efficiency by 20%. Conducted QA checks on annotated datasets, resolving discrepancies to achieve a 99% accuracy rate.

Key Achievements:

Transcribed and structured financial documents, receipts, and invoices into standardized digital formats for Expensify’s expense management platform. Performed data validation and error correction, ensuring compliance with client-specific formatting and confidentiality standards. Processed 100+ documents daily with a 98% accuracy rate, contributing to streamlined financial workflows for end-users. Collaborated with QA teams to identify process bottlenecks, reducing turnaround time by 15%.

Key Achievements:

Labeled and annotated sensor data (LiDAR, camera feeds) for Audi’s autonomous vehicle training programs. Tagged objects, road signs, and pedestrian movements to enhance AI perception models. Maintained strict adherence to safety and privacy protocols while handling sensitive automotive data. Recognized for exceeding weekly annotation targets by 10% without compromising accuracy.