Nzube Onyeacholam

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Polygon

Freelancer Overview

Clean data is the backbone of any reliable AI, and my experience across image, text, and audio annotation has made me a bit of a perfectionist in that area. I’m deeply familiar with the leading annotation platforms, but I bring more than just technical proficiency to the table. I’m the person who flags the holes in the annotation guidelines and suggests workflow tweaks to keep inter-annotator agreement high. I thrive in high-pressure environments where deadlines are tight, ensuring that every piece of data I touch is audit-ready and adds real value to the machine learning pipeline.

Labeling Experience

Autonomous Driving Dataset Annotation

CVATImageBounding BoxPolygon

Annotated large-scale road scene datasets for object detection and instance segmentation using bounding boxes and polygon tools. Labeled vehicles, pedestrians, traffic signs, and lane markings while ensuring high accuracy and adherence to annotation guidelines. Contributed to improving computer vision model performance for autonomous driving systems.

Annotated large-scale road scene datasets for object detection and instance segmentation using bounding boxes and polygon tools. Labeled vehicles, pedestrians, traffic signs, and lane markings while ensuring high accuracy and adherence to annotation guidelines. Contributed to improving computer vision model performance for autonomous driving systems.

2025 - 2025

Education

Work History