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J

Jiwoo Choi

Bilingual Data Annotator - RLHF

South Korea flagSeoul, South Korea
$40.00/hrIntermediateOtherClickworkerData Annotation Tech

Key Skills

Software

Other
ClickworkerClickworker
Data Annotation TechData Annotation Tech
Label StudioLabel Studio
OneFormaOneForma
Scale AIScale AI

Top Subject Matter

RLHF
Red Teaming
Bilingual Annotation

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

ClassificationClassification
Emotion RecognitionEmotion Recognition
Text GenerationText Generation
RLHFRLHF
Fine-tuningFine-tuning
Red TeamingRed Teaming
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Data Labeler at Data Annotation. Brings 2+ years of experience across complex professional workflows, research, and quality-focused execution in master's program at KAIST. Education includes Master of Science, KAIST (2026) and Bachelor of Science, Hallym University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

IntermediateEnglishJapaneseGermanKorean

Labeling Experience

Data Labeler at Data Annotation

TextRLHF
I specialized in bilingual evaluation and created model training data for CS/STEM tasks through data labeling at Data Annotation and Prolific. My work included assessing and evaluating model capabilities as well as designing rubrics for large language model (LLM) evaluation. I contributed to multilingual model assessment and prompt/response writing for supervised fine-tuning of LLMs. • Performed cross-lingual model evaluation and benchmarking. • Created structured training datasets in technical (CS/STEM) domains. • Designed annotation rubrics for systematic comparison. • Assessed model outputs for accuracy, fluency, and relevance.

I specialized in bilingual evaluation and created model training data for CS/STEM tasks through data labeling at Data Annotation and Prolific. My work included assessing and evaluating model capabilities as well as designing rubrics for large language model (LLM) evaluation. I contributed to multilingual model assessment and prompt/response writing for supervised fine-tuning of LLMs. • Performed cross-lingual model evaluation and benchmarking. • Created structured training datasets in technical (CS/STEM) domains. • Designed annotation rubrics for systematic comparison. • Assessed model outputs for accuracy, fluency, and relevance.

2026 - Present

SF Data Annotation Assistant

OtherTextEmotion Recognition
I performed fine-grained SF narrative annotation to support a digital humanities project focused on human–AI collaborative deep learning for fiction generation. • Maintained data integrity and annotation protocol adherence. • Supported research dissemination through annotated data analysis.

I performed fine-grained SF narrative annotation to support a digital humanities project focused on human–AI collaborative deep learning for fiction generation. • Maintained data integrity and annotation protocol adherence. • Supported research dissemination through annotated data analysis.

2024 - 2024

Historical Data Annotation Assistant

OtherTextClassification
I performed data annotation and quality validation for an AI-powered historical knowledge platform funded by Booyoung Group. My role required classifying and annotating historical documents and validating the consistency of labels through careful review. I contributed to the development of a reliable structured data corpus for AI modeling in historical research. • Annotated and classified historical texts based on semantic content. • Conducted inter-annotator agreement analysis and quality checks. • Assisted in refining annotation guidelines for the team. • Validated labeled data for platform integration and research.

I performed data annotation and quality validation for an AI-powered historical knowledge platform funded by Booyoung Group. My role required classifying and annotating historical documents and validating the consistency of labels through careful review. I contributed to the development of a reliable structured data corpus for AI modeling in historical research. • Annotated and classified historical texts based on semantic content. • Conducted inter-annotator agreement analysis and quality checks. • Assisted in refining annotation guidelines for the team. • Validated labeled data for platform integration and research.

2024 - 2024

Education

K

KAIST

Master of Science, Digital Humanities and Computational Social Sciences

Master of Science
2024 - 2026
H

Hallym University

Bachelor of Arts, English Language and Literature

Bachelor of Arts
2020 - 2024

Work History

K

Korea Information Society Development Institute

Research Support Staff

Seoul
2025 - 2025
K

Korea Information Society Development Institute

Research Support Assistant

Seoul
2024 - 2024