Vianna O.

Key Skills

Software

Labelbox

Top Subject Matter

Speech-to-Text (STT) dataset labeling and transcription

Educational tutoring and learning support

Top Data Types

Audio

Text

Top Task Types

Translation/Localization

Transcription

Entity (NER) Classification

Freelancer Overview

Freelance Audio Transcriber (Speech-to-Text training data). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Biomedical Engineering with Honours, University Tunku Abdul Rahman (UTAR) (2029) and A-Levels, Sunway College (2024). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and Entity (NER) Classification.

Labeling Experience

Tuition and Daycare Teacher

TextEntity (NER) Classification

Tutored primary school students with structured homework support and interactive learning activities to reinforce comprehension and task completion. While not explicitly an AI labeling role, the work involved guided practice using prepared learning materials and classroom activities that support educational content development. Focused on addressing learning gaps through supervision, explanations, and organized materials preparation. • Supervised students during homework and daily learning activities • Prepared and organized learning materials for instruction • Led interactive sessions and activities to enhance engagement • Resolved on-the-spot classroom and management issues to maintain learning continuity

2025 - 2025

Freelance Audio Transcriber (Speech-to-Text training data)

AudioTranscription

Processed and transcribed high-volume audio datasets to support Speech-to-Text (STT) machine learning model training and refinement. Applied phonetic labeling and linguistic formatting to produce high-quality annotations aligned with technical guidelines for AI model optimization. Contributed to dataset quality by maintaining accuracy and consistency across transcription outputs. • Transcribed and processed audio to create training-ready speech-text pairs • Performed phonetic labeling and linguistic formatting for annotation consistency • Followed strict technical guidelines for STT dataset optimization • Maintained 98%+ accuracy in labeled/transcribed outputs

2025 - 2025

Education

Work History