Okuma J.

Key Skills

Software

Labelbox

Scale AI

SuperAnnotate

Top Subject Matter

Technology Policy & Product Operations

Cloud Domain Expertise

Nlp Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

AI Data Labeling Specialist. Core strengths include Labelbox, Scale AI, and SuperAnnotate. Education includes Bachelor of Science, University of Leicester (2017) and Certificate, Google Career Certificates (2021). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

AI Data Labeling Specialist

LabelboxTextClassification

As an AI Data Labeling Specialist at Atlas Data Systems, I labeled text, images, and chat data to train machine learning models. My work included prompt review and improving dataset quality to ensure model accuracy. I completed over 4,000 tasks at a 96% accuracy rate, supporting global AI initiatives. • Labeled and annotated diverse data types (text, image, chat) • Conducted quality assurance and content evaluation • Enhanced prompt datasets for training purposes • Supported large-scale data operations for NLP and computer vision models.

2022 - 2024

Content Quality Analyst

Scale AITextClassification

At BrightTech Analytics, I served as a Content Quality Analyst, focusing on the review and tagging of conversational datasets. I evaluated content for safety, relevance, and consistency to ensure data integrity for AI training. My role contributed to robust, reliable conversational AI systems. • Reviewed and tagged chat-based and conversational data • Implemented standards for content moderation • Improved overall dataset consistency and reliability • Designed evaluation workflows for safety and relevance

2020 - 2022

Data Annotation Intern

SuperAnnotateEntity (NER) Classification

During my Data Annotation Intern role at BlueCore Research Labs, I tagged and cleaned biomedical datasets to support healthcare AI research. My primary tasks involved entity recognition and data formatting to prepare high-quality training sets. This experience contributed directly to medical NLP and life sciences projects. • Annotated biomedical entities in research data • Performed quality checks for dataset accuracy • Supported healthcare and patient management datasets • Facilitated compliance with data security standards

2019 - 2020

Education

Work History