Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

• Executed end-to-end annotation of text, image, audio, and video datasets, encompassing semantic and foundational segmentation, artifact annotation, semantic text segmentation, video semantic labeling, and landmark data annotation to support machine learning model development.
• Utilized tools such as Adobe Photoshop ,label me and atlas for precise polygon creation, line and border annotation, and screenshot-based data collection, with a strong focus on human face data and landmark labeling.
• Performed cloud-based annotation workflows, including unified clipper annotation, pet and multi-human annotation, ethnicity correction, and structured data capture to ensure high-quality and diverse training datasets.
• Produced and processed high-quality audio datasets using Audacity, applying standardized recording and preprocessing techniques to meet project specifications.
• Consistently met or exceeded accuracy and productivity KPIs while adhering to strict quality benchmarks, annotation guidelines, and data integrity standards.
• Collaborated closely with cross-functional teams to clarify project requirements, resolve ambiguities, and deliver high-quality annotated datasets within established timelines