Jeonghee Lee

Key Skills

Software

OneForma

Telus

Other

Top Subject Matter

Korean Speech Recognition/ASR

Korean NLP/Language Modeling

Audio Event Classification

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Entity Ner Classification

Classification

Bounding Box

Evaluation Rating

Freelancer Overview

AI Data Annotation & Transcription Specialist. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma, Welo AI Platform, and TELUS. Education includes Bachelor of Science, Pukyong National University (2015). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Entity (NER) Classification, and Classification.

Labeling Experience

Audio Event Classification Annotator

TelusAudioClassification

I participated in audio event classification projects, distinguishing between speech, babble, music, and noise in segmented audio clips. The role involved applying event labeling and validation processes to audio datasets for machine learning. I ensured labeling accuracy and guideline adherence at all times.• Classified event types in multi-label audio datasets • Supported QA validation and data integrity checks • Used platform tools for audio event labeling and tagging • Assisted multilingual mixed-speech annotation efforts

I participated in audio event classification projects, distinguishing between speech, babble, music, and noise in segmented audio clips. The role involved applying event labeling and validation processes to audio datasets for machine learning. I ensured labeling accuracy and guideline adherence at all times.• Classified event types in multi-label audio datasets • Supported QA validation and data integrity checks • Used platform tools for audio event labeling and tagging • Assisted multilingual mixed-speech annotation efforts

2022 - Present

NER & Intent Classification Annotator

TextEntity Ner Classification

I contributed to Named Entity Recognition (NER) annotation and intent classification dataset projects as part of data labeling for AI language models. I focused on identifying, classifying, and annotating entities and intents in Korean textual data following project guidelines. My work also included performing QA reviews of annotated datasets and refining sentence structures.• Labeled NER and intent classes on Korean text for datasets • Refined sentence data and conducted dataset validation • Supported annotation project QA processes and compliance • Operated multilingual mixed-speech annotation reviews and evaluations

I contributed to Named Entity Recognition (NER) annotation and intent classification dataset projects as part of data labeling for AI language models. I focused on identifying, classifying, and annotating entities and intents in Korean textual data following project guidelines. My work also included performing QA reviews of annotated datasets and refining sentence structures.• Labeled NER and intent classes on Korean text for datasets • Refined sentence data and conducted dataset validation • Supported annotation project QA processes and compliance • Operated multilingual mixed-speech annotation reviews and evaluations

2022 - Present

AI Data Annotation & Transcription Specialist

OneformaAudioTranscription

As an AI Data Annotation & Transcription Specialist, I worked on Korean ASR training projects involving speech dataset segmentation and verbatim transcription. My responsibilities included applying advanced linguistic analysis and ensuring grammar-level accuracy in annotation processes. I consistently delivered guideline-compliant results for segmentation, quality validation, and transcription tasks.• Performed audio segmentation using silence and time-based rules • Classified segments as speech, babble, music, or noise for training sets • Applied overlap tagging, multi-speaker labeling, and unintelligible speech handling • Conducted annotation quality assurance and inverse text normalization (ITN) QA review

As an AI Data Annotation & Transcription Specialist, I worked on Korean ASR training projects involving speech dataset segmentation and verbatim transcription. My responsibilities included applying advanced linguistic analysis and ensuring grammar-level accuracy in annotation processes. I consistently delivered guideline-compliant results for segmentation, quality validation, and transcription tasks.• Performed audio segmentation using silence and time-based rules • Classified segments as speech, babble, music, or noise for training sets • Applied overlap tagging, multi-speaker labeling, and unintelligible speech handling • Conducted annotation quality assurance and inverse text normalization (ITN) QA review

2022 - Present

AI Safety Evaluator

ImageEvaluation Rating

This project focuses on multilingual safety evaluation of model responses across culturally specific prompt-image datasets.

This project focuses on multilingual safety evaluation of model responses across culturally specific prompt-image datasets.

2026 - 2026

Education

Work History