Joshua Ogoigbe

Key Skills

Software

Labelbox

CVAT

Prodigy

Top Subject Matter

Machine Learning

Data Annotation

Computer Vision

Top Data Types

Text

Image

Audio

Video

Top Task Types

Classification

Bounding Box

Polygon

Point/Key Point

Segmentation

Entity (NER) Classification

Object Detection

Text Generation

Question Answering

Freelancer Overview

Data Annotation, Quality and Policy Expert. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include SRT, Labelbox, and CVAT. Education includes Higher National Diploma, The Polytechnic, Ibadan (2017). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Bounding Box, and Polygon.

Labeling Experience

Video Data Annotator - AI Learning Assistant Project

LabelboxVideoClassification

I performed video annotation for an AI learning assistant project, contributing to robust model training. Responsibilities included labeling scenes, captioning learners’ activities, and annotating video events per detailed guidelines. I worked closely with engineers to refine video datasets for improved model accuracy. • Executed detailed scene and event labeling for educational videos. • Ensured compliance with video annotation protocols. • Provided insights for optimizing video annotation workflows. • Assisted with quality reviews and error reduction tracking.

I performed video annotation for an AI learning assistant project, contributing to robust model training. Responsibilities included labeling scenes, captioning learners’ activities, and annotating video events per detailed guidelines. I worked closely with engineers to refine video datasets for improved model accuracy. • Executed detailed scene and event labeling for educational videos. • Ensured compliance with video annotation protocols. • Provided insights for optimizing video annotation workflows. • Assisted with quality reviews and error reduction tracking.

2022 - Present

Medical Image Data Annotator

CVATClassificationObject Detection

I labeled medical imaging datasets to support the development of AI-powered healthcare classification tools. Using annotation tools and strict domain guidelines, I ensured accurate detection and categorization of medical features. My work directly contributed to clinical AI model training and validation efforts. • Applied medical annotation guidelines to image labeling tasks. • Maintained confidentiality and data integrity standards. • Collaborated with clinical experts to verify labeling accuracy. • Supported healthcare AI initiatives with high-quality medical data.

I labeled medical imaging datasets to support the development of AI-powered healthcare classification tools. Using annotation tools and strict domain guidelines, I ensured accurate detection and categorization of medical features. My work directly contributed to clinical AI model training and validation efforts. • Applied medical annotation guidelines to image labeling tasks. • Maintained confidentiality and data integrity standards. • Collaborated with clinical experts to verify labeling accuracy. • Supported healthcare AI initiatives with high-quality medical data.

2022 - Present

Chatbot Training Data Annotator

ProdigyTextText Generation

I annotated chatbot training datasets aimed at improving the response accuracy of conversational AI models. My efforts contributed to increasing the model's accuracy by 70% through detailed labeling and quality checks. This role required close collaboration with the NLP engineering team to refine prompts and responses. • Enhanced chatbot performance via high-quality text data annotation. • Focused on prompt-and-response matching and conversational flow improvements. • Implemented quality assurance reviews to ensure data consistency. • Supported ongoing dataset enhancement processes.

I annotated chatbot training datasets aimed at improving the response accuracy of conversational AI models. My efforts contributed to increasing the model's accuracy by 70% through detailed labeling and quality checks. This role required close collaboration with the NLP engineering team to refine prompts and responses. • Enhanced chatbot performance via high-quality text data annotation. • Focused on prompt-and-response matching and conversational flow improvements. • Implemented quality assurance reviews to ensure data consistency. • Supported ongoing dataset enhancement processes.

2022 - Present

Data Annotation, Quality and Policy Expert

TextClassificationBounding Box

As a Data Annotation, Quality, and Policy Expert at Hugo Technologies, I labeled and annotated over 50,000 data points across text, image, audio, and video formats. I utilized SRT, CVAT, Labelbox, and Prodigy to ensure high annotation accuracy and consistent data quality. My work included prompt design for model improvement and establishing QA procedures to reduce errors significantly. • Consistently maintained over 97% accuracy on large-scale datasets. • Collaborated with ML engineers on taxonomy and workflow refinement. • Led quality assurance efforts, enhancing annotation precision and efficiency. • Applied industry-standard annotation tools in an agile, remote team environment.

As a Data Annotation, Quality, and Policy Expert at Hugo Technologies, I labeled and annotated over 50,000 data points across text, image, audio, and video formats. I utilized SRT, CVAT, Labelbox, and Prodigy to ensure high annotation accuracy and consistent data quality. My work included prompt design for model improvement and establishing QA procedures to reduce errors significantly. • Consistently maintained over 97% accuracy on large-scale datasets. • Collaborated with ML engineers on taxonomy and workflow refinement. • Led quality assurance efforts, enhancing annotation precision and efficiency. • Applied industry-standard annotation tools in an agile, remote team environment.

2022 - Present

Education

Work History