Jin Young Ro

Key Skills

Software

Scale AI

Appen

Labelbox

Mercor

OneForma

Remotasks

Telus

Other

Top Subject Matter

AI model evaluation and prompt tuning

Mathematics Domain Expertise

Statistics Domain Expertise

Top Data Types

Text

Audio

Video

Document

Top Task Types

Transcription

Prompt + Response Writing (SFT)

RLHF

Data Collection

Evaluation/Rating

Text Generation

Classification

Segmentation

Freelancer Overview

I have 7+ years of experience across localization, LQA, and AI training/evaluation, with hands-on work in data labeling, annotation, quality review, and multilingual language data workflows. My AI-related experience includes evaluating and improving prompts and responses, reviewing AI-generated math content for accuracy and reasoning quality, supporting virtual assistant training and evaluation, and working on Korean speech-related projects involving synthetic speech, voice recognition, dubbing, transcription, and annotation. I am comfortable following detailed guidelines, applying consistent judgment, and maintaining high accuracy in quality-focused workflows. In addition to AI data work, I bring strong Korean-English language expertise from translation, localization, MTPE, and game LQA across a wide range of domains, including gaming, technical content, education, finance, cryptocurrency, websites, and apps. This background helps me identify linguistic issues precisely, handle nuanced content, and improve the quality of both user-facing and model-generated data. I offer native-level Korean, fluent English, strong attention to detail, and reliable performance in text and audio labeling tasks, including evaluation, rating, review, and transcription.

Labeling Experience

Korean Voice Annotation Specialist

Audio

I provided annotation and labeling for Korean voice datasets used in AI training. This included marking utterances, correcting transcripts, and classifying audio samples. My careful annotation work helped train improved voice recognition models. • Classified and corrected Korean speech data. • Marked utterance and transcription errors. • Enhanced dataset reliability through QA steps. • Supported AI model performance for Korean speech.

I provided annotation and labeling for Korean voice datasets used in AI training. This included marking utterances, correcting transcripts, and classifying audio samples. My careful annotation work helped train improved voice recognition models. • Classified and corrected Korean speech data. • Marked utterance and transcription errors. • Enhanced dataset reliability through QA steps. • Supported AI model performance for Korean speech.

2023 - 2023

Korean Voice Recognition Data Annotator

Audio

I annotated Korean voice data for AI voice recognition system training. The work involved labeling speaker turns, speech segments, and specific phonemes for model accuracy. I maintained consistency and quality across multiple annotation batches. • Labeled speech segments and features in audio files. • Ensured consistency and standardization in annotations. • Followed detailed phonetic and speaker ID protocols. • Contributed to improving Korean voice AI datasets.

I annotated Korean voice data for AI voice recognition system training. The work involved labeling speaker turns, speech segments, and specific phonemes for model accuracy. I maintained consistency and quality across multiple annotation batches. • Labeled speech segments and features in audio files. • Ensured consistency and standardization in annotations. • Followed detailed phonetic and speaker ID protocols. • Contributed to improving Korean voice AI datasets.

2023 - 2023

Korean Audio Transcription Specialist

AudioTranscription

I performed transcription of Korean speech data for language AI training purposes. My work ensured that transcribed texts aligned with the audio content for precise AI learning. This included proofreading for accuracy and reliability. • Transcribed Korean audio files for machine learning. • Proofread speech and dialogue for data quality. • Supported creation of structured datasets. • Delivered high-quality linguistic resources.

I performed transcription of Korean speech data for language AI training purposes. My work ensured that transcribed texts aligned with the audio content for precise AI learning. This included proofreading for accuracy and reliability. • Transcribed Korean audio files for machine learning. • Proofread speech and dialogue for data quality. • Supported creation of structured datasets. • Delivered high-quality linguistic resources.

2022 - 2023

AI Math Data Reviewer and Quality Rater

Scale AIText

I reviewed and corrected AI-generated math content for accuracy and reasoning. The tasks focused on ensuring high mathematical correctness and quality for educational datasets. I performed annotation and rating tasks on math-related model outputs. • Conducted rigorous math QA on AI-generated content. • Enhanced math reasoning and solution quality. • Followed mathematical annotation guidelines and best practices. • Delivered comprehensive feedback to improve dataset effectiveness.

I reviewed and corrected AI-generated math content for accuracy and reasoning. The tasks focused on ensuring high mathematical correctness and quality for educational datasets. I performed annotation and rating tasks on math-related model outputs. • Conducted rigorous math QA on AI-generated content. • Enhanced math reasoning and solution quality. • Followed mathematical annotation guidelines and best practices. • Delivered comprehensive feedback to improve dataset effectiveness.

2022 - 2023

AI Data Trainer and Evaluator

Scale AIText

I evaluated and improved AI prompts, responses, and instruction-following quality for a data labeling project. My work focused on multilingual workflows and following strict guidelines for quality and performance. I completed rating and prompt-tuning tasks to optimize language model outputs. • Evaluated AI model prompts and responses for quality. • Worked on multilingual data for diverse language support. • Used contemporary AI assessment methods. • Contributed to instruction-following and RLHF workflows.

I evaluated and improved AI prompts, responses, and instruction-following quality for a data labeling project. My work focused on multilingual workflows and following strict guidelines for quality and performance. I completed rating and prompt-tuning tasks to optimize language model outputs. • Evaluated AI model prompts and responses for quality. • Worked on multilingual data for diverse language support. • Used contemporary AI assessment methods. • Contributed to instruction-following and RLHF workflows.

2021 - 2023

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Education

Work History