Dim Chinonso

Key Skills

Software

CVAT

Top Subject Matter

Computer Vision/General

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Video

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

I have less than one year of experience in data labeling and AI training data, where I’ve worked on annotating and organizing datasets to support machine learning models. My work has involved tasks such as text classification, data cleaning, and ensuring consistency and accuracy in labeled outputs. I pay close attention to detail and follow annotation guidelines carefully to maintain high-quality datasets. I bring strong analytical thinking, consistency, and a willingness to learn quickly. I’m comfortable working with structured instructions, meeting deadlines, and handling repetitive tasks with focus. Additionally, I have a basic understanding of Python, which helps me better understand how data is used in training models and allows me to approach labeling tasks with a more technical perspective.

Labeling Experience

AI Video Annotator

CVATVideoBounding Box

As an AI Video Annotator, I labeled and validated large-scale video datasets to train computer vision models. I used bounding boxes and classification labels, following strict annotation guidelines and meeting accuracy benchmarks. My responsibilities included both detailed annotation and quality assurance through productivity tracking and cross-team collaboration. • Applied bounding boxes and classification labels to video frames • Performed quality assurance checks and data validation • Addressed edge cases and flagged ambiguous data • Collaborated remotely to refine labeling standards

As an AI Video Annotator, I labeled and validated large-scale video datasets to train computer vision models. I used bounding boxes and classification labels, following strict annotation guidelines and meeting accuracy benchmarks. My responsibilities included both detailed annotation and quality assurance through productivity tracking and cross-team collaboration. • Applied bounding boxes and classification labels to video frames • Performed quality assurance checks and data validation • Addressed edge cases and flagged ambiguous data • Collaborated remotely to refine labeling standards

2025 - Present

Education

Work History