Yusuf Opeyemi

Key Skills

Software

Appen

Labelbox

OneForma

CVAT

Prodigy

Top Subject Matter

Natural Language Processing (NLP)

Computer Vision

Speech Recognition

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity Ner Classification

Object Detection

Transcription

Classification

Freelancer Overview

AI Data Annotation Specialist. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Labelbox, and OneForma. Education includes Higher National Diploma, Kwara State Polytechnic (2022) and National Diploma, Kwara State Polytechnic (2019). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Object Detection, and Transcription.

Labeling Experience

AI Data Annotation Specialist

OneformaAudioTranscription

As a freelance specialist, I annotated and transcribed audio datasets, contributing to speech recognition AI systems. My focus was on segmenting, labeling, and ensuring accurate transcription of voice data. I followed project protocols and performed thorough review processes for high-quality outputs. • Annotated and transcribed audio for speech recognition model training • Ensured segmentation and labeling met project requirements • Conducted systematic validation checks for accuracy • Leveraged Appen and OneForma audio labeling platforms

As a freelance specialist, I annotated and transcribed audio datasets, contributing to speech recognition AI systems. My focus was on segmenting, labeling, and ensuring accurate transcription of voice data. I followed project protocols and performed thorough review processes for high-quality outputs. • Annotated and transcribed audio for speech recognition model training • Ensured segmentation and labeling met project requirements • Conducted systematic validation checks for accuracy • Leveraged Appen and OneForma audio labeling platforms

2025 - Present

AI Data Annotation Specialist

LabelboxImageObject Detection

In my remote AI Data Annotation Specialist role, I conducted object detection and image tagging for computer vision datasets. Adhering to project instructions, I ensured precise bounding box placements and accurate image categorization. I took part in quality assurance and used leading platforms to label image data for model training. • Labeled diverse image datasets for object detection projects • Implemented bounding box and tagging standards • Validated consistency and accuracy of image annotations • Utilized Labelbox, CVAT, and Amazon SageMaker Ground Truth for annotation work

In my remote AI Data Annotation Specialist role, I conducted object detection and image tagging for computer vision datasets. Adhering to project instructions, I ensured precise bounding box placements and accurate image categorization. I took part in quality assurance and used leading platforms to label image data for model training. • Labeled diverse image datasets for object detection projects • Implemented bounding box and tagging standards • Validated consistency and accuracy of image annotations • Utilized Labelbox, CVAT, and Amazon SageMaker Ground Truth for annotation work

2025 - Present

AI Data Annotation Specialist

AppenTextEntity Ner Classification

As an AI Data Annotation Specialist, I annotated and labeled large textual datasets for natural language processing (NLP) projects focusing on text classification and entity recognition. I followed established guidelines to ensure high-quality and consistent annotations for AI training. My responsibilities included validation checks and collaboration with AI trainers to maintain dataset accuracy. • Annotated and labeled NLP training texts for classification and entity recognition • Performed rigorous quality control and validation on outputs • Collaborated remotely with team members on distributed platforms • Used tools such as OneForma, Appen, and Prodigy for annotation tasks

As an AI Data Annotation Specialist, I annotated and labeled large textual datasets for natural language processing (NLP) projects focusing on text classification and entity recognition. I followed established guidelines to ensure high-quality and consistent annotations for AI training. My responsibilities included validation checks and collaboration with AI trainers to maintain dataset accuracy. • Annotated and labeled NLP training texts for classification and entity recognition • Performed rigorous quality control and validation on outputs • Collaborated remotely with team members on distributed platforms • Used tools such as OneForma, Appen, and Prodigy for annotation tasks

2025 - Present

Data Entry & Labeling Intern

ProdigyTextClassification

As a Data Entry & Labeling Intern, I worked on labeling and preparing structured text datasets to train machine learning models. My work focused on applying text classification labels and ensuring data integrity. I played a key role in maintaining high accuracy throughout the project duration. • Labeled and classified text datasets for AI models • Maintained data accuracy and integrity through quality checks • Supported annotation guideline development for the team • Utilized Prodigy and internal tools for text annotation

As a Data Entry & Labeling Intern, I worked on labeling and preparing structured text datasets to train machine learning models. My work focused on applying text classification labels and ensuring data integrity. I played a key role in maintaining high accuracy throughout the project duration. • Labeled and classified text datasets for AI models • Maintained data accuracy and integrity through quality checks • Supported annotation guideline development for the team • Utilized Prodigy and internal tools for text annotation

2024 - 2024

Data Entry & Labeling Intern

CVATImageObject Detection

During my internship, I focused on image annotation, labeling datasets for use in machine learning object detection models. I maintained high accuracy while adhering to annotation guidelines and corrected errors through regular quality reviews. I contributed to creating annotation guidelines and improving workflows for efficient data processing. • Labeled images for object detection machine learning models • Ensured accuracy and corrected annotation errors • Assisted with guideline creation and workflow enhancements • Used CVAT and internal tools for image annotation tasks

During my internship, I focused on image annotation, labeling datasets for use in machine learning object detection models. I maintained high accuracy while adhering to annotation guidelines and corrected errors through regular quality reviews. I contributed to creating annotation guidelines and improving workflows for efficient data processing. • Labeled images for object detection machine learning models • Ensured accuracy and corrected annotation errors • Assisted with guideline creation and workflow enhancements • Used CVAT and internal tools for image annotation tasks

2024 - 2024

Education

Work History