Scott Churlin

Key Skills

Software

Appen

CVAT

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Polygon

Segmentation

Object Detection

Tracking

Freelancer Overview

I am a detail-oriented Data Annotator and AI Training Specialist with over two years of hands-on experience supporting large-scale computer vision projects, particularly in the autonomous vehicle domain. My expertise includes image and video annotation, bounding box and polygon labeling, semantic segmentation, and object tracking using industry-standard tools such as CVAT, Labelbox, Scale AI, and Appen. I have successfully annotated and quality-checked hundreds of thousands of images and video sequences, consistently maintaining over 98% accuracy while meeting tight deadlines. My strong understanding of machine learning workflows, commitment to data quality, and experience with complex annotation guidelines allow me to deliver reliable, high-quality datasets that directly enhance model performance and reliability. I am adept at collaborating in fast-paced, remote environments and am dedicated to upholding data confidentiality and compliance standards.

Labeling Experience

Senior Data Annotator – Autonomous Vehicle Computer Vision

LabelboxVideoBounding BoxPolygon

Worked on a large-scale AI training initiative focused on enhancing real-time object detection and scene understanding models for autonomous driving systems. The project supported the development and optimization of deep learning architectures such as YOLO, Faster R-CNN, and Mask R-CNN through the creation of high-quality annotated datasets.

Worked on a large-scale AI training initiative focused on enhancing real-time object detection and scene understanding models for autonomous driving systems. The project supported the development and optimization of deep learning architectures such as YOLO, Faster R-CNN, and Mask R-CNN through the creation of high-quality annotated datasets.

2023 - 2024

Education

Work History