Levi Nwadike

Key Skills

Software

Appen

Labelbox

OneForma

Top Subject Matter

Toxicity Detection

Relevance Algorithms

Social Media Content

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Bounding Box

Text Summarization

Transcription

RLHF

Freelancer Overview

AI Content Evaluator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Engineering, Federal University of Technology, Owerri (2019) and Diploma in Computer Science, Nnamdi Azikiwe University (2015). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data annotation

VideoSegmentation

The project breaks down complex human activities into tiny, precise segments, thereby teaching AI how to identify objects and physical motion of humans.

The project breaks down complex human activities into tiny, precise segments, thereby teaching AI how to identify objects and physical motion of humans.

2025 - Present

AI Content Evaluator

LabelboxTextClassification

As an AI Content Evaluator for Project Carleton, I evaluated and labeled large volumes of social media text data. My task was to assess content for relevance and toxicity, following detailed annotation guidelines. I ensured data quality and diversity for model training and provided rigorous feedback for model improvement. • Labeled social media posts for toxicity detection and relevance • Followed 50+ page annotation manuals to ensure consistency • Maintained over 95% accuracy rate in labeling tasks • Reported model hallucinations and edge cases to improve datasets

As an AI Content Evaluator for Project Carleton, I evaluated and labeled large volumes of social media text data. My task was to assess content for relevance and toxicity, following detailed annotation guidelines. I ensured data quality and diversity for model training and provided rigorous feedback for model improvement. • Labeled social media posts for toxicity detection and relevance • Followed 50+ page annotation manuals to ensure consistency • Maintained over 95% accuracy rate in labeling tasks • Reported model hallucinations and edge cases to improve datasets

2022 - 2023

Education

Work History