Odunayo Abiodun

Key Skills

Software

Labelbox

Top Subject Matter

AI Training Data

Object Detection for AI

Sentiment Analysis

Top Data Types

Image

Text

Top Task Types

Classification

Object Detection

Freelancer Overview

Data Annotation Specialist (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, N, and A. Education includes Bachelor of Science, Olabisi Onabanjo University (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Object Detection.

Labeling Experience

Data Annotation Specialist (Remote)

LabelboxImageClassification

As a Data Annotation Specialist, I labeled and categorized images, text, and audio for various AI projects using robust annotation tools. I managed high-volume datasets, ensuring accuracy in annotations and collaborating with clients for efficient workflow improvements. I also conducted regular quality assurance reviews to deliver clean and reliable training data for machine learning models. • Utilized Labelbox and Amazon SageMaker Ground Truth for streamlined annotation processes. • Achieved over 100% annotation accuracy, consistently meeting tight deadlines. • Implemented client feedback promptly, reducing the number of revisions. • Performed periodic quality assurance checks to minimize errors.

As a Data Annotation Specialist, I labeled and categorized images, text, and audio for various AI projects using robust annotation tools. I managed high-volume datasets, ensuring accuracy in annotations and collaborating with clients for efficient workflow improvements. I also conducted regular quality assurance reviews to deliver clean and reliable training data for machine learning models. • Utilized Labelbox and Amazon SageMaker Ground Truth for streamlined annotation processes. • Achieved over 100% annotation accuracy, consistently meeting tight deadlines. • Implemented client feedback promptly, reducing the number of revisions. • Performed periodic quality assurance checks to minimize errors.

2024 - Present

Text Annotation for Sentiment Analysis/ Freelance Project/ Upwork

TextClassification

I annotated over 1,000 customer feedback comments for sentiment analysis, carefully tagging each entry with positive, negative, or neutral sentiment labels. My work required applying natural language processing (NLP) techniques and collaborating with quality assurance teams to ensure consistent and accurate labeling. I followed strict annotation guidelines provided by the client, providing reliable data for model training. • Used manual and NLP-based annotation methods to process text data. • Collaborated with QA team for double-checking sentiment tags. • Identified key themes and trends from annotated data. • Maintained documentation for consistent annotation practices.

I annotated over 1,000 customer feedback comments for sentiment analysis, carefully tagging each entry with positive, negative, or neutral sentiment labels. My work required applying natural language processing (NLP) techniques and collaborating with quality assurance teams to ensure consistent and accurate labeling. I followed strict annotation guidelines provided by the client, providing reliable data for model training. • Used manual and NLP-based annotation methods to process text data. • Collaborated with QA team for double-checking sentiment tags. • Identified key themes and trends from annotated data. • Maintained documentation for consistent annotation practices.

2024 - 2024

Image Labelling for AI Based Object Detection/ Freelance Project/ Upwork

LabelboxImageObject Detection

In this freelance project, I annotated and categorized over 500 images for an object detection model to identify specific objects in diverse environments. I worked closely with clients to define annotation categories, meeting specified requirements to ensure high-quality training data for AI models. The project involved following strict labeling guidelines and using advanced annotation software. • Used Labelbox and VGG Image Annotator throughout the labeling workflow. • Maintained consistency across the dataset to boost model training reliability. • Coordinated with stakeholders to refine categories and specifications. • Ensured timely project delivery with high labeling accuracy.

In this freelance project, I annotated and categorized over 500 images for an object detection model to identify specific objects in diverse environments. I worked closely with clients to define annotation categories, meeting specified requirements to ensure high-quality training data for AI models. The project involved following strict labeling guidelines and using advanced annotation software. • Used Labelbox and VGG Image Annotator throughout the labeling workflow. • Maintained consistency across the dataset to boost model training reliability. • Coordinated with stakeholders to refine categories and specifications. • Ensured timely project delivery with high labeling accuracy.

2024 - 2024

Project Leader (University Research Group)

ImageClassification

As a Project Leader, I coordinated a university research group in organizing and labeling data for an academic study. My focus was on ensuring the accuracy and consistency of all dataset entries, combining leadership and data management. I guided team members in adhering to labeling standards and submission deadlines. • Led the team in systematic data collection and annotation. • Assigned roles and monitored labeling quality. • Implemented supervisor feedback to improve overall data integrity. • Ensured precise data documentation for research outcomes.

As a Project Leader, I coordinated a university research group in organizing and labeling data for an academic study. My focus was on ensuring the accuracy and consistency of all dataset entries, combining leadership and data management. I guided team members in adhering to labeling standards and submission deadlines. • Led the team in systematic data collection and annotation. • Assigned roles and monitored labeling quality. • Implemented supervisor feedback to improve overall data integrity. • Ensured precise data documentation for research outcomes.

2023 - 2023

Education

Work History