Ajayraj Yengan

Key Skills

Software

CVAT

Labelbox

Remotasks

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Bounding Box

Classification

Object Detection

Polygon

Tracking

Freelancer Overview

With over 4 years of full-time experience as a Senior Data Annotator (previously with LXT, Remotask, Walmart Global Tech, Thakral One, and other leading AI data companies), I specialize in creating high-quality training datasets for computer vision and autonomous systems. My core expertise lies in Autonomous Driving projects, where I have delivered thousands of hours of precise 2D/3D bounding boxes, semantic & instance segmentation, LiDAR point cloud annotation, lane marking, and video object tracking using tools such as canvas, Kognic tool, and custom platforms. I consistently maintain 98–99% accuracy and have frequently been assigned Quality Assurance/Validation roles due to my attention to detail and deep understanding of complex annotation guidelines. Beyond autonomous driving, I have strong domain experience in Retail & E-commerce (product detection and shelf monitoring for Walmart Global Tech), Human Pose Estimation & Fitness/Yoga (keypoint and landmark annotation), Medical Imaging, and Surveillance projects. Comfortable with all major labeling types — bounding boxes, polygons, polylines, keypoints, segmentation, and cuboids — I adapt quickly to new tools and guidelines and am immediately available for part-time or full-time remote opportunities.

Labeling Experience

Senior Data Annotator 4+ Years Ex-LXT, Bounding Box & Autonomous Driving, Image & Video Annotation Expert

CVATVideoBounding BoxObject Detection

Video Object Tracking & Annotation Specialist 2+ years of continuous video annotation experience on autonomous driving and surveillance projects Frame-by-frame object tracking (vehicles, pedestrians, cyclists) across 1000+ video sequences Maintained tracking consistency for 500+ frames per object using CVAT and custom tools Handled complex scenarios: occlusion, weather changes, night footage, crowded scenes 99% ID consistency and accuracy in long video sequences

Video Object Tracking & Annotation Specialist 2+ years of continuous video annotation experience on autonomous driving and surveillance projects Frame-by-frame object tracking (vehicles, pedestrians, cyclists) across 1000+ video sequences Maintained tracking consistency for 500+ frames per object using CVAT and custom tools Handled complex scenarios: occlusion, weather changes, night footage, crowded scenes 99% ID consistency and accuracy in long video sequences

2021 - 2021

Education

Work History