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Afolabi Okewoye

Afolabi Okewoye

Research Analyst - AI and Data Analysis

NIGERIA flag
Ibadan, Nigeria
$15.00/hrIntermediateAppenData Annotation TechFigure Eight

Key Skills

Software

AppenAppen
Data Annotation TechData Annotation Tech
Figure EightFigure Eight

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Action Recognition
Audio Recording
Bounding Box
Data Collection
Emotion Recognition
Land Cover Classification
Mapping
Object Detection

Freelancer Overview

I am a detail-oriented data annotation and research professional with hands-on experience in collaborating with Large Language Models (LLMs) to refine outputs, design effective prompts, and ensure high-quality, source-backed deliverables. My background in Remote Sensing & GIS, coupled with strong skills in web research, fact-checking, and dataset curation, enables me to execute annotation and evaluation tasks with accuracy and consistency. I am proficient in using AI tools like ChatGPT, conducting evidence-based validation, and applying best practices to detect AI limitations and hallucinations. Adaptable and analytical, I excel at following detailed guidelines for data labeling, annotation, and research projects, ensuring reliable and well-structured results in remote, fast-paced environments.

IntermediateEnglish

Labeling Experience

AI trainer

Don T DiscloseVideoObject DetectionAction Recognition
At Perle Labs, I contributed to a structured AI data annotation and quality assurance platform supporting enterprise-grade machine learning systems. I worked across multi-modal datasets, including text, image, audio, and video, performing classification, tagging, transcription, AI output verification, and prompt refinement. My role focused on improving dataset integrity, logical consistency, and model reliability. During beta, contributors completed over 1.7 million tasks across domains. Quality standards included structured onboarding, performance scoring, real-time feedback, and blockchain-based recordkeeping to ensure transparency, traceability, and consistently high annotation accuracy for training and evaluating advanced AI models.

At Perle Labs, I contributed to a structured AI data annotation and quality assurance platform supporting enterprise-grade machine learning systems. I worked across multi-modal datasets, including text, image, audio, and video, performing classification, tagging, transcription, AI output verification, and prompt refinement. My role focused on improving dataset integrity, logical consistency, and model reliability. During beta, contributors completed over 1.7 million tasks across domains. Quality standards included structured onboarding, performance scoring, real-time feedback, and blockchain-based recordkeeping to ensure transparency, traceability, and consistently high annotation accuracy for training and evaluating advanced AI models.

2025 - 2025

Education

F

Federal University of Technology, Akure

Bachelor of Technology, Remote Sensing and Geographic Information Systems

Bachelor of Technology
2021 - 2025

Work History

G

GIS Konsult

GIS Intern

Ibadan
2024 - 2024