Miracle Ebube

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Google Cloud Vertex AI

Remotasks

Roboflow

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Data Collection

Emotion Recognition

Polygon

Question Answering

Segmentation

Freelancer Overview

I am a detail-oriented Human Data Manager with several years of hands-on experience in data labeling, annotation, and AI training data operations. My background includes supervising and auditing large remote teams—over 75 contributors—on complex projects for platforms like Scale AI, Remotasks, and Appen. I have a proven track record in implementing quality assurance frameworks that significantly improve annotation accuracy and reduce rework rates. My expertise spans content moderation, compliance reviews, performance coaching, and technical troubleshooting, ensuring that datasets meet the highest standards for machine learning applications. I am passionate about process optimization and consistently deliver high-quality, reliable data for AI models in fast-paced, remote environments.

Labeling Experience

Data Annotator

RoboflowImageBounding BoxSegmentation

Annotated dataset for autonomous vehicle object detection . It was a bounding box annotation for pedestrians, vehicles and road signs. The project size was 1,000 images, 15,000 annotations. I adhered to 95% accuracy threshold, participated in quality review process.

Annotated dataset for autonomous vehicle object detection . It was a bounding box annotation for pedestrians, vehicles and road signs. The project size was 1,000 images, 15,000 annotations. I adhered to 95% accuracy threshold, participated in quality review process.

2024 - 2025

Education

Work History