Avinash Kumar

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Freelancer Overview

I am passionate about AI training data and have hands-on experience as a Data Annotation Apprentice at NVIDIA, where I worked on LiDAR and computer vision dataset labeling for autonomous driving projects. My responsibilities included precise 2D and 3D scene annotation, multi-sensor data validation, and maintaining spatial and temporal consistency across complex datasets, all while collaborating with global teams to meet rigorous quality standards. I have a strong foundation in computer vision, dataset validation, and multi-sensor data handling, supported by technical skills in Python, data structures, and algorithmic optimization. My project work, such as building a high-performance image processing platform, further demonstrates my ability to apply efficient data handling and processing strategies in real-world AI applications.

Labeling Experience

AI Data Annotation Apprentice, NVIDIA

CVATImageClassification

As an AI Data Annotation Apprentice at NVIDIA, I worked on annotating and validating large-scale computer vision datasets for autonomous driving models. My work involved labeling LiDAR, 2D, and 3D scenes to ensure precise object classification across multi-sensor data. I focused on maintaining dataset reliability by ensuring both spatial and temporal consistency. My responsibilities included quality control and adapting to evolving project specifications. • Annotated multi-view images, LiDAR, and 3D sensor data for autonomous systems • Performed accurate object classification and scene segmentation • Validated dataset consistency across sequences and sensor types • Collaborated with cross-functional teams to meet global quality standards

As an AI Data Annotation Apprentice at NVIDIA, I worked on annotating and validating large-scale computer vision datasets for autonomous driving models. My work involved labeling LiDAR, 2D, and 3D scenes to ensure precise object classification across multi-sensor data. I focused on maintaining dataset reliability by ensuring both spatial and temporal consistency. My responsibilities included quality control and adapting to evolving project specifications. • Annotated multi-view images, LiDAR, and 3D sensor data for autonomous systems • Performed accurate object classification and scene segmentation • Validated dataset consistency across sequences and sensor types • Collaborated with cross-functional teams to meet global quality standards

2025

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Work History