Levi O.

Key Skills

Software

Other

Label Studio

Top Subject Matter

AI-generated content quality

Fact-checking Domain Expertise

and response evaluation

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Fine-tuning

Bounding Box

Polygon

Entity (NER) Classification

Object Detection

RLHF

Transcription

Evaluation/Rating

Freelancer Overview

AI Data Trainer (Freelance, Remote) — Jan 2026 to Apr 2026. Core strengths include Other. Education includes Not Specified, University of Nigeria (2025) and Not Specified, DataLens Academy Africa (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation and AI Data Trainer (DataLens Academy Africa, Online) — Nov 2025 to present

OtherTextFine-tuning

Gained hands-on experience in data annotation techniques and methodologies for training AI models. Developed skills in quality assurance, label consistency, and dataset management. • Applied annotation practices to support model training workflows • Emphasized label quality and consistency for reliable learning signals • Built dataset management understanding for AI development • Collaborated with data scientists to optimize model performance

2025 - Present

AI Data Trainer (Freelance, Remote) — Jan 2026 to Apr 2026

OtherText

Edited and refined AI-generated content to improve grammar, tone, clarity, and overall quality. Conducted thorough fact-checking to identify and correct inaccuracies and AI-generated misinformation. • Evaluated, ranked, and compared multiple AI responses to choose the most helpful and accurate outputs • Reviewed generated text for quality, clarity, and consistency with requirements • Applied critical thinking and error detection to improve reliability of results • Produced labeled/structured outputs supporting downstream AI training

2026 - 2026

Data Annotation (Freelance, Remote) — Dec 2025 to Feb 2026

OtherTextClassification

Labeled and annotated large datasets to ensure accuracy and quality for machine learning models. Collaborated with data scientists to refine annotation guidelines and maintain consistent labeling standards. • Performed quality checks on annotations to uphold high accuracy • Provided feedback to improve annotation processes and guidelines • Labeled and categorized data to support model training on complex tasks • Ensured dataset quality and consistency for data-driven projects

2025 - 2026

Education

Work History