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Francis Ajayi

Francis Ajayi

AI Data Annotator

Nigeria flagLagos, Nigeria
$20.00/hrIntermediateAppenCVATData Annotation Tech

Key Skills

Software

AppenAppen
CVATCVAT
Data Annotation TechData Annotation Tech
MercorMercor
TelusTelus
Label StudioLabel Studio

Top Subject Matter

Healthcare
Finance
Technology

Top Data Types

VideoVideo
ImageImage
AudioAudio

Top Task Types

Text Generation
Question Answering
Transcription
Data Collection

Freelancer Overview

I have experience working with data labeling and AI training tasks, where I focused on evaluating model outputs, annotating datasets, and improving the overall quality of training data. My work has involved tasks such as text classification, response rating, and prompt generation, all of which required a strong understanding of language, attention to detail, and the ability to follow strict guidelines. I am comfortable working with structured instructions and maintaining consistency across large volumes of data, which is critical for training reliable AI systems. What sets me apart is my analytical mindset and ability to interpret complex instructions accurately while maintaining high-quality output. With a background in data analysis and research, I bring strong problem-solving skills, precision, and clarity in communication. I also adapt quickly to new task frameworks and feedback, ensuring continuous improvement in performance. My ability to combine critical thinking with efficiency allows me to deliver accurate and reliable results in fast-paced AI training environments.

IntermediateEnglishJapanese

Labeling Experience

Data Labelling

TextText Generation
This project focused on text-based data labeling within the finance domain, with a primary emphasis on text generation tasks. The role involved creating, refining, and evaluating financial-related content to support the training and optimization of AI models. Tasks included generating accurate and contextually relevant financial text, assessing model-generated outputs for quality, and ensuring alignment with predefined guidelines and linguistic standards.

This project focused on text-based data labeling within the finance domain, with a primary emphasis on text generation tasks. The role involved creating, refining, and evaluating financial-related content to support the training and optimization of AI models. Tasks included generating accurate and contextually relevant financial text, assessing model-generated outputs for quality, and ensuring alignment with predefined guidelines and linguistic standards.

2026 - 2026

Video Annotator

VideoClassification
Worked as a Video Annotator focusing on classification-based labeling of video data. Responsible for reviewing video content and accurately categorizing it according to predefined guidelines to support machine learning model development. Ensured consistency and accuracy across large datasets by applying attention to detail and critical judgment. Collaborated with team members and adhered to quality standards to improve model performance in real-world applications. This role required strong analytical skills, time management, and the ability to interpret dynamic visual information efficiently.

Worked as a Video Annotator focusing on classification-based labeling of video data. Responsible for reviewing video content and accurately categorizing it according to predefined guidelines to support machine learning model development. Ensured consistency and accuracy across large datasets by applying attention to detail and critical judgment. Collaborated with team members and adhered to quality standards to improve model performance in real-world applications. This role required strong analytical skills, time management, and the ability to interpret dynamic visual information efficiently.

2025 - 2025

Image Annotator

ImagePolygon
Worked as an Image Annotator specializing in polygon-based labeling techniques. Responsible for accurately identifying and outlining objects within images to support machine learning and computer vision models. Ensured high-quality data annotation by following detailed guidelines and maintaining consistency across datasets. Collaborated with team members and utilized annotation tools to label complex visual data, contributing to the development and improvement of AI-driven systems. This ongoing project requires strong attention to detail, precision, and the ability to interpret visual information effectively.

Worked as an Image Annotator specializing in polygon-based labeling techniques. Responsible for accurately identifying and outlining objects within images to support machine learning and computer vision models. Ensured high-quality data annotation by following detailed guidelines and maintaining consistency across datasets. Collaborated with team members and utilized annotation tools to label complex visual data, contributing to the development and improvement of AI-driven systems. This ongoing project requires strong attention to detail, precision, and the ability to interpret visual information effectively.

2025 - 2025

Education

R

Redeemer’s University

Bachelor of Science, Human Anatomy

Bachelor of Science
2020 - 2020

Work History

C

Comcast

Data Analyst

Philadelphia
2025 - 2026