Peter Omo-ekhaese

Key Skills

Software

Label Studio

Other

Top Subject Matter

AI model training data (Computer Vision and NLP)

Sentiment analysis / Nigerian languages (NLP)

Basic object detection / Computer Vision

Top Data Types

Image

Text

Top Task Types

Classification

Entity (NER) Classification

Object Detection

Freelancer Overview

Junior Data Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Other, and Internal. Education includes Bachelor of Science, University of Ibadan (2021). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Entity (NER) Classification, and Object Detection.

Labeling Experience

Junior Data Specialist

Label StudioImageClassification

As a Junior Data Specialist, I was responsible for annotating both images and text samples to train AI models. I ensured high accuracy using tools like Label Studio, and collaborated closely with distributed teams to meet strict quality standards. My labeling work focused on contributing reliable data to machine learning pipelines and supporting ongoing model improvements. • Labeled over 5,000 images and text samples for classification tasks • Used Label Studio and followed TrainAI-style workflows • Maintained accuracy rates above 98% consistently • Collaborated via Slack and Jira with remote teams

As a Junior Data Specialist, I was responsible for annotating both images and text samples to train AI models. I ensured high accuracy using tools like Label Studio, and collaborated closely with distributed teams to meet strict quality standards. My labeling work focused on contributing reliable data to machine learning pipelines and supporting ongoing model improvements. • Labeled over 5,000 images and text samples for classification tasks • Used Label Studio and followed TrainAI-style workflows • Maintained accuracy rates above 98% consistently • Collaborated via Slack and Jira with remote teams

2024 - Present

IT Support & Developer Intern

OtherTextEntity Ner Classification

During my IT Support & Developer Internship, I contributed to local AI pilot projects focused on sentiment analysis using Nigerian languages. My primary duty was cleaning, importing, and labeling datasets to support natural language processing pipelines. Additionally, I performed quality control on data annotation workflows and assisted open-source teams on GitHub. • Labeled and reviewed sentiment datasets for NLP applications • Used Jupyter Notebooks and contributed to data labeling repositories • Focused on Nigerian language sentiment data • Provided quality checks for entry-level contributors

During my IT Support & Developer Internship, I contributed to local AI pilot projects focused on sentiment analysis using Nigerian languages. My primary duty was cleaning, importing, and labeling datasets to support natural language processing pipelines. Additionally, I performed quality control on data annotation workflows and assisted open-source teams on GitHub. • Labeled and reviewed sentiment datasets for NLP applications • Used Jupyter Notebooks and contributed to data labeling repositories • Focused on Nigerian language sentiment data • Provided quality checks for entry-level contributors

2022 - 2023

Software Development Intern

ImageObject Detection

As a Software Development Intern, I prepared image datasets for annotation and learned best practices in computer vision data labeling. My responsibilities included writing Python scripts to process and format CSV data and annotating images for object detection as part of team training. These experiences helped me develop foundational skills in data preparation for AI. • Processed and prepared 1,000+ image records weekly for annotation • Participated in annotation sessions and training for computer vision • Used Pandas and internal tools for image handling • Supported model training data preparation for AI projects

As a Software Development Intern, I prepared image datasets for annotation and learned best practices in computer vision data labeling. My responsibilities included writing Python scripts to process and format CSV data and annotating images for object detection as part of team training. These experiences helped me develop foundational skills in data preparation for AI. • Processed and prepared 1,000+ image records weekly for annotation • Participated in annotation sessions and training for computer vision • Used Pandas and internal tools for image handling • Supported model training data preparation for AI projects

2021 - 2022

Personal Project: Image Dataset Prep

OtherImageObject Detection

I organized and annotated an image dataset of over 2,000 samples for basic object detection tasks in a self-initiated project. This work followed annotation best practices and leveraged Google Colab to perform batch labeling and quality checks. The experience expanded my practical skills in organizing and preparing image data for AI. • Prepared and annotated 2,000+ images for labeling • Utilized Google Colab for data management and processing • Adhered to guidelines for object detection tasks • Enhanced skills in self-guided annotation workflows

I organized and annotated an image dataset of over 2,000 samples for basic object detection tasks in a self-initiated project. This work followed annotation best practices and leveraged Google Colab to perform batch labeling and quality checks. The experience expanded my practical skills in organizing and preparing image data for AI. • Prepared and annotated 2,000+ images for labeling • Utilized Google Colab for data management and processing • Adhered to guidelines for object detection tasks • Enhanced skills in self-guided annotation workflows

2023

Personal Project: Text Labeler Tool

OtherTextClassification

I created a Python-based Text Labeler Tool for annotating Yoruba and English text, contributing to personal and open-source TrainAI practice. The tool utilized Pandas for cleaning, preprocessing, and annotation of local dataset samples. This project strengthened my ability to prepare high-quality labeled text data for AI models. • Built a script to annotate and clean text datasets • Focused on Yoruba/English and local corpora • Shared work on GitHub for public reference • Demonstrated end-to-end workflow for text labeling

I created a Python-based Text Labeler Tool for annotating Yoruba and English text, contributing to personal and open-source TrainAI practice. The tool utilized Pandas for cleaning, preprocessing, and annotation of local dataset samples. This project strengthened my ability to prepare high-quality labeled text data for AI models. • Built a script to annotate and clean text datasets • Focused on Yoruba/English and local corpora • Shared work on GitHub for public reference • Demonstrated end-to-end workflow for text labeling

2023

Education

Work History