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Joyce Onuegbu

Joyce Onuegbu

AI Data Annotator | Data Labeling Specialist

Canada flaglondon, Canada
$20.00/hrExpertClickworkerCrowdsourceLionbridge

Key Skills

Software

ClickworkerClickworker
CrowdSourceCrowdSource
LionbridgeLionbridge
MercorMercor
OneFormaOneForma
RemotasksRemotasks
TelusTelus

Top Subject Matter

Artificial Intelligence & Machine Learning
Search Relevance & Ranking
Social Media & Digital Content

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
Object DetectionObject Detection
Question AnsweringQuestion Answering
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I have hands-on experience in data labelling and AI training data preparation, working across multiple data types, including text, image, and video. My work has involved annotating datasets according to detailed guidelines, ensuring high levels of accuracy, consistency, and relevance to support machine learning model performance. I am skilled in tasks such as classification, sentiment analysis, entity recognition, and content moderation, and I consistently maintain quality through thorough validation checks and adherence to project standards. What sets me apart is my strong attention to detail, ability to quickly interpret complex annotation guidelines, and commitment to delivering clean, reliable data. I have experience working with annotation tools and managing large datasets while meeting tight deadlines. I also bring a structured and analytical mindset, which helps me identify edge cases and improve data quality. With excellent organizational and communication skills, I effectively contribute to collaborative AI training projects and continuous model improvement.

ExpertEnglish

Labeling Experience

Transcriber (Remote) – Langara College

TextClassification
Served as a remote transcriber, completing text transcriptions according to specific client guidelines and ensuring all annotations conformed to formatting standards. Labeled and reviewed transcripts to ensure proper categorization and error detection within text data. Adhered to confidentiality protocols while utilizing transcription and annotation software: • Implemented textual data annotation for training AI transcription models. • Communicated with leads for clarifying ambiguous data labels. • Maintained data quality through iterative draft reviews and updates. • Adapted quickly to updated software and evolving client requirements.

Served as a remote transcriber, completing text transcriptions according to specific client guidelines and ensuring all annotations conformed to formatting standards. Labeled and reviewed transcripts to ensure proper categorization and error detection within text data. Adhered to confidentiality protocols while utilizing transcription and annotation software: • Implemented textual data annotation for training AI transcription models. • Communicated with leads for clarifying ambiguous data labels. • Maintained data quality through iterative draft reviews and updates. • Adapted quickly to updated software and evolving client requirements.

2021 - 2022

Transcriber (Remote) – Literably

AudioClassification
This role involved listening to audio recordings of students and accurately identifying and transcribing reading errors for data annotation purposes. Responsibilities included submitting error-labeled transcripts for feedback, and communicating with clients or supervisors about any unclear cases or annotation issues. The work aimed to ensure high-quality, accurate transcriptions for educational analysis and AI training: • Regularly reviewed and refined data transcripts to meet client standards. • Maintained strong communication skills for clarifying data ambiguities. • Focused on accurate and timely data annotation for educational assessment. • Contributed to consistent data quality through ongoing training and feedback cycles.

This role involved listening to audio recordings of students and accurately identifying and transcribing reading errors for data annotation purposes. Responsibilities included submitting error-labeled transcripts for feedback, and communicating with clients or supervisors about any unclear cases or annotation issues. The work aimed to ensure high-quality, accurate transcriptions for educational analysis and AI training: • Regularly reviewed and refined data transcripts to meet client standards. • Maintained strong communication skills for clarifying data ambiguities. • Focused on accurate and timely data annotation for educational assessment. • Contributed to consistent data quality through ongoing training and feedback cycles.

2018 - 2021

Education

F

Fanshawe College

Graduate Diploma, Supply Chain Management Logistics

Graduate Diploma
2010 - 2012

Work History

L

Langara College

Transcriber

London
2021 - 2022