Levi Charles

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Top Label Types

Polygon

Freelancer Overview

I am a detail-oriented AI and data training specialist with hands-on experience in image annotation and data labeling for machine learning projects. My expertise includes accurately labeling buttons, icons, and text elements using polygon and bounding box tools on large-scale image datasets, often exceeding 3,000 photos. I am skilled at managing multi-label datasets, ensuring consistency and high precision across every project. My technical toolkit includes CVAT, LabelImg, Labelbox, and Roboflow, and I have a proven track record of delivering high-quality, QA-checked datasets within tight deadlines. I thrive in remote environments, leveraging strong visual analysis skills and a commitment to accuracy to support robust AI model development.

Labeling Experience

AI/Data Labeler (Freelance / Remote Projects)

CVATImagePolygon

As a freelance AI/Data Labeler, I annotated large volumes of images by labeling buttons, icons, and objects using polygon tools. I maintained high precision and consistency across multi-label UI element datasets to enhance machine learning models. Project workflows emphasized accuracy and deadline compliance to deliver quality results. • Labeled 3,000+ images, including 2,500+ UI elements (buttons, icons, text). • Applied polygon annotation for inclined and angled objects using strict guidelines. • Managed multi-label projects with up to 5–6 objects per image. • Utilized multiple annotation tools and ensured rigorous QA processes.

As a freelance AI/Data Labeler, I annotated large volumes of images by labeling buttons, icons, and objects using polygon tools. I maintained high precision and consistency across multi-label UI element datasets to enhance machine learning models. Project workflows emphasized accuracy and deadline compliance to deliver quality results. • Labeled 3,000+ images, including 2,500+ UI elements (buttons, icons, text). • Applied polygon annotation for inclined and angled objects using strict guidelines. • Managed multi-label projects with up to 5–6 objects per image. • Utilized multiple annotation tools and ensured rigorous QA processes.

2024

Education

Work History