Hrishab Kakoty

AI Data Annotation Specialist with a Diploma in Biomedical Engineering and a Bachelor of Technology in Computer Science Engineering. Experienced in annotating and evaluating multimodal datasets including images, videos, audio, and text for AI and computer vision applications. Proficient in segmentation, object tracking, quality assurance, and model evaluation using annotation platforms such as CVAT.

Adept at following detailed annotation guidelines, maintaining high labeling accuracy, and leveraging biomedical knowledge to support high-precision medical AI datasets.

AI Data Annotator Specialist (Part-Time) - Innodata - Remote

(2025-11 - 2026-03)

• Delivered high-accuracy AI data annotation and evaluation across multimodal datasets including text, images, audio, and video to enhance large-scale machine learning and generative AI models.
• Conducted Text Model Head-to-Head (H2H) evaluations, count verification, and perception labeling to assess model outputs for accuracy, relevance, and guideline compliance.
• Annotated and refined image datasets involving transparent background creation, personal and sensitive content removal, color picker tasks, and object-level labeling using specialized annotation UIs.
• Validated advanced generative AI workflows such as sketch-to-photorealistic image assessments, video color picker tasks, and text-to-audio/video alignment checks.
• Annotated and quality-checked multimodal datasets using CVAT and specialized annotation platforms, performing image segmentation, object tracking, bounding boxes, keypoint annotation, and quality validation.

Bachelor of Technology - Computer Science Engineering (Lateral) - Central Institute of Technology, Kokrajhar (2022-06 - 2025-05)

Diploma - Biomedical Engineering - Golaghat Polytechnic, Furkating (2017-08 - 2020-07)