For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Abasifreke Eyo

Abasifreke Eyo

AI data annotator

NIGERIA flag
N/A, Nigeria
$15.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Computer science
E-commerce
Weather

Top Data Types

AudioAudio
DocumentDocument
ImageImage

Top Task Types

Classification
Object Detection
Text Generation
Question Answering
Text Summarization

Freelancer Overview

I have experience contributing to AI training workflows through structured data handling, annotation-ready system design, and real-time application development. As a Full Stack and React Native Developer, I’ve built scalable platforms—such as chat and community-based systems—where accurate data structuring, labeling logic, and user interaction tracking are essential for training intelligent systems. My work with Firebase and Firestore has strengthened my ability to manage large datasets, ensure data consistency, and prepare clean, well-organized inputs suitable for machine learning pipelines. What sets me apart is my strong technical foundation combined with a deep understanding of how user-generated data can be transformed into high-quality training datasets. I bring skills in data validation, attention to detail, and system optimization, along with hands-on experience building features like role-based access, real-time messaging, and content categorization. This allows me to approach data labeling not just as a task, but as part of a broader AI system lifecycle—ensuring accuracy, scalability, and meaningful outcomes for AI models.

IntermediateEnglish

Labeling Experience

Mr

DocumentClassification
Project: SLATY – Interactive Educational & Community Platform SLATY is a mobile-based educational platform designed to make learning engaging and accessible for university students. I developed the application using React Native and Firebase, implementing features such as real-time chat, community groups, and role-based access for students and tutors. The platform enables users to communicate, share resources, and participate in collaborative learning environments. From a data and AI perspective, the project involved structuring and managing large volumes of user-generated content, including messages, media, and interactions. I designed systems that organize this data efficiently, making it suitable for analysis, categorization, and potential training of AI models. This included handling timestamps, message grouping, user roles, and content flow—ensuring clean, consistent, and well-labeled datasets. The project highlights my ability to combine software development with data organization principles critical for AI training and data labeling tasks.

Project: SLATY – Interactive Educational & Community Platform SLATY is a mobile-based educational platform designed to make learning engaging and accessible for university students. I developed the application using React Native and Firebase, implementing features such as real-time chat, community groups, and role-based access for students and tutors. The platform enables users to communicate, share resources, and participate in collaborative learning environments. From a data and AI perspective, the project involved structuring and managing large volumes of user-generated content, including messages, media, and interactions. I designed systems that organize this data efficiently, making it suitable for analysis, categorization, and potential training of AI models. This included handling timestamps, message grouping, user roles, and content flow—ensuring clean, consistent, and well-labeled datasets. The project highlights my ability to combine software development with data organization principles critical for AI training and data labeling tasks.

2022 - 2025

Education

U

University of Uyo

Bachelor of engineering , Computer Engineering

Bachelor of engineering
2016 - 2021

Work History

S

SLATY

Full Stack / Mobile Developer

N/A
2022 - Present