Aditya K.

Key Skills

Software

CVAT

Top Subject Matter

Computer Vision

Object Detection

Action Recognition

Top Data Types

Image

Top Task Types

Bounding Box

Freelancer Overview

AI Trainer — Data Annotator & QA Specialist. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT. Education includes Bachelor of Technology, Rungta College of Engineering and Technology (2022) and High School Diploma, RLSY College, Bakhtiyarpur, Patna (2022). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Trainer — Data Annotator & QA Specialist

CVATImageBounding Box

As an AI Trainer and Data Annotator at Outlier AI, I edited and corrected model-generated video and image annotations with a focus on improving data quality. I annotated over 150 data items per week across images, videos, and multi-modal content using CVAT. My main tasks included bounding boxes, polygon annotation, keypoint labeling, and semantic segmentation. • Enhanced annotation quality by performing timestamp editing, action labeling, and left/right hand identification. • Conducted QA reviews and refined AI model outputs to correct errors and edge cases. • Enforced label consistency through strict rubric adherence and calibration sessions. • Collaborated with ML engineers on data pre-processing for ML-ready datasets.

2025 - 2025

Computer Vision Annotation Practice — Personal Project

CVATImageBounding Box

Through a personal project in Computer Vision Annotation Practice, I built an end-to-end image dataset for object detection using CVAT. This work included bounding box, polygon annotation, keypoint labeling, and semantic segmentation on more than 500 images. I enforced label consistency and applied inter-annotator agreement standards while simulating high-volume workflows. • Led dataset construction and self-QA to minimize labeling errors. • Practiced high-throughput annotation pipeline processes. • Applied best practices in data quality and annotation accuracy. • Strengthened experience with advanced labeling tools and Python scripting.

Not specified

Education

Work History