Key Skills

Software

Appen

Clickworker

Labelbox

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Data Collection

Freelancer Overview

I am an experienced audio and linguistic data annotator specializing in Korean speech transcription, labeling, and quality evaluation for AI training. Over the past few years, I have worked on diverse projects involving STT (speech-to-text) transcription, timestamping, noise identification, and speaker segmentation using tools like Whisper and Labelbox. My experience also includes performing detailed QA and refinement of AI-generated transcripts to ensure high linguistic and acoustic accuracy. In addition to transcription, I have a strong background in audio restoration and sound design, which allows me to handle noisy or complex data efficiently. I have worked with large-scale datasets such as AI Hub’s multi-speaker Korean corpus and contributed to projects by global AI companies including Appen, RWS, and CrowdGen. I bring precision, consistency, and a deep understanding of Korean language nuances to every annotation task, ensuring that all training data meets professional research standards.

Labeling Experience

Education

Work History