Oluwatofe Olaoye

Key Skills

Software

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Text Generation

RLHF

Freelancer Overview

I have experience working on data labeling and AI training tasks where I review and rate content for accuracy, clarity, and relevance. I’m comfortable following detailed guidelines, spotting errors, and making sure data is clean and consistent. My background in Telecommunication Science has strengthened my analytical thinking and attention to detail, which helps me maintain high accuracy in every task. I’m reliable, focused, and able to work independently in remote settings. I take quality seriously and understand that well-reviewed data plays a big role in improving AI systems.

Labeling Experience

AI Text Annotation & Response Evaluation Project

OneformaTextClassificationText Generation

The project is focused on evaluating and annotating AI-generated text responses to improve model quality and alignment. Tasks included rating responses for relevance, clarity, factual accuracy, tone, and logical consistency based on structured guidelines. I categorized outputs, flagged misleading or biased content, and provided written feedback explaining rating decisions. The project involved reviewing hundreds of prompt-response pairs and maintaining high consistency across annotations. Quality control measures included self-review, cross-checking edge cases, and strict adherence to defined scoring rubrics to ensure reliable training data.

The project is focused on evaluating and annotating AI-generated text responses to improve model quality and alignment. Tasks included rating responses for relevance, clarity, factual accuracy, tone, and logical consistency based on structured guidelines. I categorized outputs, flagged misleading or biased content, and provided written feedback explaining rating decisions. The project involved reviewing hundreds of prompt-response pairs and maintaining high consistency across annotations. Quality control measures included self-review, cross-checking edge cases, and strict adherence to defined scoring rubrics to ensure reliable training data.

2024 - 2025

Education

Work History