Faith O.

Key Skills

Software

CVAT

Labelbox

iMerit

Mercor

OneForma

Top Subject Matter

General AI/ML

RLHF & Quality Assurance

Data Annotation (images, Text, Audio, Video)

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Point/Key Point

Entity (NER) Classification

Freelancer Overview

Data Annotator / AI Training Specialist with 1+ years of hands-on experience working on diverse data annotation and AI training projects. Skilled in labeling and reviewing multiple data types including images, text, audio, and video datasets for machine learning applications. Experienced in annotation workflows such as Bounding Box, Polygon, Semantic Segmentation, Classification, Object Tracking, and Quality Assurance using tools like CVAT. Strong background in maintaining annotation accuracy, following detailed project guidelines, and supporting high-quality AI model training across complex workflows. Holds a Master of Information Science, University of Ibadan (2026) and a Bachelor of Technology from Ladoke Akintola University of Technology (2021).

Labeling Experience

Data Annotator – Freelancer

CVATImageBounding Box

As a freelance Data Annotator, I annotate and label images using bounding boxes, polygons, segmentation masks, and keypoints for AI and machine learning projects. I review and validate AI-generated outputs to ensure the accuracy and reliability of labeled data. I prioritize image datasets but also handle video, text, and audio labeling as needed. • Collaborated on data quality assurance for AI system outcomes. • Identified errors and inconsistencies to improve AI model performance. • Ensured adherence to project guidelines and high annotation standards. • Utilized multiple annotation tools including CVAT, Roboflow, and LabelImg.

2025 - Present

AI Model Data Annotation (AFEX – Confidential)

CVATImageBounding Box

I labeled and validated image datasets for an agricultural AI system as part of a confidential AFEX project. My responsibilities included ensuring data quality and annotation accuracy for agricultural applications. Strict confidentiality and adherence to project standards were maintained throughout. • Performed manual and assisted image annotation for AI use cases. • Collaborated with the team to review and QA loads of annotated data. • Focused on precise, project-specific requirements for images. • Maintained a high level of confidentiality regarding datasets.

2023 - 2023

Information Technology Intern

CVATTextRLHF

I annotated images for AI models in the agricultural domain as an IT Intern at AFEX. My work focused on producing high-quality labeled datasets to support agricultural commodity grading systems. I contributed to team collaboration and quality improvements for the AI projects. • Leveraged annotation tools such as CVAT, Roboflow, and LabelImg. • Ensured accuracy and consistency of labels in agricultural data. • Supported prompt writing for AI applications to enhance usability. • Participated in team efforts to improve workflow efficiency.

2022 - 2023

Education

Work History