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O

Okoye Joel

Lead Annotator and Workflow Manager

Nigeria flagLagos, Nigeria
$20.00/hrIntermediateMindriftOneformaMercor

Key Skills

Software

MindriftMindrift
OneFormaOneForma
MercorMercor

Top Subject Matter

Nigeria conversational AI and dialogue management
Medical NLP for Nigeria clinical text analysis
Nigeria conversational AI and chatbot toolkit

Top Data Types

TextText
AudioAudio

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Text GenerationText Generation
Text SummarizationText Summarization
Evaluation/RatingEvaluation/Rating
Question AnsweringQuestion Answering

Freelancer Overview

Lead Annotator and Workflow Manager – Multilingual Hong Kong Chatbot Development. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Hong Kong Polytechnic University (2024) and Bachelor of Arts, The Chinese University of Hong Kong (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

IntermediateEnglish

Labeling Experience

Community Annotation Coordinator – Multilingual Hong Kong Chatbot Framework

TextEntity Ner Classification
Created open-source annotated conversational datasets for Hong Kong language chatbot framework. Labeled sample dialogues and semantic information relevant to Hong Kong cultural and linguistic context. Focused on annotation methods supporting chatbot intent, entity classification, and response generation. • Developed protocol for community-contributed annotation • Implemented annotation schema for cultural context • Validated dialogue and semantic labeling by contributors • Produced training sets for fine-tuning conversational models

Created open-source annotated conversational datasets for Hong Kong language chatbot framework. Labeled sample dialogues and semantic information relevant to Hong Kong cultural and linguistic context. Focused on annotation methods supporting chatbot intent, entity classification, and response generation. • Developed protocol for community-contributed annotation • Implemented annotation schema for cultural context • Validated dialogue and semantic labeling by contributors • Produced training sets for fine-tuning conversational models

2024 - Present

Medical Domain Data Labeling Lead – Hong Kong Medical NLP Platform

TextEntity Ner Classification
Led annotation of clinical notes and medical terminology in natural language for specialized Hong Kong healthcare models. Oversaw extraction of named entities, medical concepts, and semantic relationships in medical text. Ensured data labeling quality by developing custom guidelines and iterative process feedback. • Developed medical annotation guidelines • Coordinated clinical data anonymization and labeling • Performed QA on medical entity and concept extraction • Facilitated collaboration between medical and NLP teams

Led annotation of clinical notes and medical terminology in natural language for specialized Hong Kong healthcare models. Oversaw extraction of named entities, medical concepts, and semantic relationships in medical text. Ensured data labeling quality by developing custom guidelines and iterative process feedback. • Developed medical annotation guidelines • Coordinated clinical data anonymization and labeling • Performed QA on medical entity and concept extraction • Facilitated collaboration between medical and NLP teams

2024 - 2025

Lead Annotator and Workflow Manager – Multilingual Hong Kong Chatbot Development

TextEntity Ner Classification
Developed and managed large-scale data annotation workflows for Hong Kong language understanding systems. Labeled conversational and semantic intent datasets for chatbot and NLU projects. Oversaw consistency and quality of human-provided intent, entity, and classification labels. • Designed intent and entity annotation schema • Supervised team in consistent labeling of chatbot dialogs • QA'd semantic annotations to achieve high accuracy • Applied annotation to real-world Hong Kong use cases

Developed and managed large-scale data annotation workflows for Hong Kong language understanding systems. Labeled conversational and semantic intent datasets for chatbot and NLU projects. Oversaw consistency and quality of human-provided intent, entity, and classification labels. • Designed intent and entity annotation schema • Supervised team in consistent labeling of chatbot dialogs • QA'd semantic annotations to achieve high accuracy • Applied annotation to real-world Hong Kong use cases

2021 - 2024

Education

U

University of Nigeria

Msc, Computer Science

Msc
2021 - 2024

Work History

O

Oneforma.com

Annotation

London
2025 - Present