Godstime Ijuwe

Key Skills

Software

Appen

OneForma

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Segmentation

Text Generation

Transcription

Translation Localization

Freelancer Overview

I am a dedicated professional with hands-on experience in data annotation and labeling for machine learning and AI projects. My work as a freelance data annotation contractor has allowed me to develop strong skills in ensuring data accuracy, consistency, and compliance with project guidelines, while collaborating with project leads to deliver high-quality results on time. I am adept at remote work, time management, and team collaboration, and I bring a strong background in customer support and problem-solving from my previous roles. I am passionate about contributing to the development of reliable AI systems by providing precise and well-structured training data, and I am eager to continue expanding my expertise in data annotation and analysis.

Labeling Experience

Atlas Capture

OneformaVideoSegmentation

Atlas Capture is a video action segmentation and annotation project focused on labeling observable human-object interactions to train AI and computer vision systems. The work involves reviewing short video clips, identifying clear action boundaries, and applying standardized verb-object labels such as pick, place, move, adjust, rotate, and wipe while maintaining consistent segmentation granularity throughout each task. The project requires careful handling of stacked objects, continuous manipulations, and simultaneous actions, with strict adherence to labeling guidelines, precise boundary detection, and quality control standards to ensure accurate and reliable structured training data.

Atlas Capture is a video action segmentation and annotation project focused on labeling observable human-object interactions to train AI and computer vision systems. The work involves reviewing short video clips, identifying clear action boundaries, and applying standardized verb-object labels such as pick, place, move, adjust, rotate, and wipe while maintaining consistent segmentation granularity throughout each task. The project requires careful handling of stacked objects, continuous manipulations, and simultaneous actions, with strict adherence to labeling guidelines, precise boundary detection, and quality control standards to ensure accurate and reliable structured training data.

2025

Education

Work History