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Chinonye Ezenwata

Chinonye Ezenwata

Data Annotation Specialist

Nigeria flagLagos, Nigeria
$8.00/hrIntermediateAppenClickworkerCVAT

Key Skills

Software

AppenAppen
ClickworkerClickworker
CVATCVAT
Data Annotation TechData Annotation Tech
LionbridgeLionbridge
MindriftMindrift
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Task Types

Action RecognitionAction Recognition
Audio RecordingAudio Recording
Data CollectionData Collection
DiagnosisDiagnosis
Text SummarizationText Summarization

Freelancer Overview

Detail oriented Data Annotation & AI Evaluation Specialist with 4+ years of experience optimizing high-quality datasets for Machine Learning (ML) and Large Language Models (LLM). Expert in Human-in-the-Loop (HITL) workflows, combining a Master of Information Science with trilingual proficiency (English, German, Turkish). Proven track record of maintaining 99%+ quality scores in RLHF, multimodal labeling, and search relevance. Specialized in bridging the gap between technical IT frameworks and complex linguistic analysis for global AI teams.

IntermediateEnglishTurkishGerman

Labeling Experience

Data Annotation

DocumentData Collection
Conducted a document data collection and labeling project focused on reviewing and interpreting diverse document types to support AI training pipelines. Responsibilities included annotating and categorizing textual content, extracting key information from structured and unstructured documents, and applying consistent labeling schemas to ensure high quality training data. Maintained strict adherence to quality control guidelines throughout the project lifecycle, contributing to a scalable and accurate dataset for downstream NLP and document understanding models.

Conducted a document data collection and labeling project focused on reviewing and interpreting diverse document types to support AI training pipelines. Responsibilities included annotating and categorizing textual content, extracting key information from structured and unstructured documents, and applying consistent labeling schemas to ensure high quality training data. Maintained strict adherence to quality control guidelines throughout the project lifecycle, contributing to a scalable and accurate dataset for downstream NLP and document understanding models.

2025 - 2025

Education

U

University of Pittsburgh

Masters, Information Science

Masters
2022 - 2023

Work History

T

Telus

Data Annotation Specialist

Canada
2021 - Present