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Ag

AI Data Specialist | Web developer | Cybersecurity

Nigeria flagBenin City, Nigeria

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI
MercorMercor

Top Subject Matter

Tec
Finance
E-ommerce

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

ClassificationClassification
Object DetectionObject Detection
Text SummarizationText Summarization
TranscriptionTranscription
Question AnsweringQuestion Answering
SegmentationSegmentation
Text GenerationText Generation

Freelancer Overview

I have experience working with data annotation and AI training data tasks, including text classification, data categorization, content moderation, transcription review, and quality assurance. My work has involved carefully analyzing data, following detailed annotation guidelines, identifying inconsistencies, and maintaining high levels of accuracy to support machine learning model development. I am comfortable working with large datasets, meeting deadlines, and ensuring data quality through thorough review and validation processes. In addition to data labeling, I have a strong technical background in web development and cybersecurity studies, which has strengthened my analytical thinking, attention to detail, and problem-solving abilities. I am proficient with digital tools, quick to learn new platforms, and committed to producing reliable, high-quality results. My combination of technical knowledge, precision, and dedication to continuous learning enables me to contribute effectively to AI training and data annotation projects.

Labeling Experience

Audio categorization

AudioAudioClassificationClassification

I worked on an audio categorization project focused on labeling and organizing audio recordings to support the development of AI and speech recognition systems. My responsibilities included listening to audio clips, identifying key characteristics such as language, speaker attributes, background noise, sound events, or content categories, and assigning the appropriate labels according to project guidelines. I ensured consistency and accuracy across large datasets while carefully reviewing recordings for quality and classification correctness. This project strengthened my attention to detail, critical listening, and data quality assurance skills. I became proficient at following detailed annotation guidelines, maintaining high accuracy rates, and efficiently processing large volumes of audio data. The categorized audio datasets were used to train and improve machine learning models for speech recognition, audio analysis, and content classification applications.

2025 - Present

Text transcription

TextTextTranscriptionTranscription

I worked on a text transcription project that involved converting audio recordings into accurate written text for AI training and data processing purposes. My responsibilities included carefully listening to audio files, transcribing spoken content verbatim, identifying speakers when required, correcting formatting issues, and ensuring the final transcripts adhered to project guidelines. I also reviewed transcripts for accuracy, grammar, punctuation, and completeness to maintain high-quality datasets. Through this project, I developed strong listening, language, and attention-to-detail skills while working with diverse accents, speech patterns, and audio qualities. I consistently met quality and productivity targets, ensuring reliable transcription outputs that could be used for speech recognition, natural language processing, and other AI model training applications.

2025 - Present

Image annotation

ImageImageObject DetectionObject Detection

I worked on an image annotation project where I reviewed and labeled images to support the training of machine learning models. My responsibilities included identifying and tagging objects, drawing bounding boxes around relevant items, classifying images into predefined categories, and ensuring annotations met project guidelines. I maintained a high level of accuracy and consistency while processing large volumes of image data and performing quality checks to correct errors and improve dataset reliability. Through this project, I developed strong attention to detail, data quality assurance skills, and the ability to follow complex annotation instructions. The annotated datasets were used to train and evaluate AI models for image recognition and object detection tasks, contributing to improved model performance and accuracy.

2026 - 2026

Education

A

Ambrose Alli University

BSCCSC, Computer science

BSCCSC
2023 - 2026

Work History

1

19 studios

Software engineer and Cyber security analyst

Benin City
2024 - Present