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Dasol Lee

Dasol Lee

Generative AI R&D Freelancer | IPX (formerly LINE FRIENDS)

SOUTH_KOREA flag
Seoul, South Korea
$13.00/hrExpertLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

Character generation for virtual IP (WADE)
Virtual environment sound-matching data

Top Data Types

ImageImage
AudioAudio
VideoVideo

Top Task Types

Fine Tuning
Transcription
Data Collection

Freelancer Overview

Generative AI R&D Freelancer | IPX (formerly LINE FRIENDS). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Master of Science, Sogang University (2024) and Bachelor of Arts, Sungshin Women's University (2022). AI-training focus includes data types such as Image and Audio and labeling workflows including Fine-tuning, Evaluation, and Rating.

ExpertKoreanEnglish

Labeling Experience

Generative AI R&D Freelancer | IPX (formerly LINE FRIENDS)

ImageFine Tuning
I constructed and refined a fine-tuning dataset for a virtual character, optimizing for facial expressions, poses, and consistency. The project focused on dataset creation, model fine-tuning, and collaborative workflow documentation for generative AI. I used commercial and proprietary tools to facilitate data preparation and training for image-to-video pipelines. • Defined and refined training criteria for image dataset • Built a 256-image dataset for fine-tuning with commercial AI models • Documented reproducible workflows for team-wide use • Supported end-to-end data curation, model training, and evaluation

I constructed and refined a fine-tuning dataset for a virtual character, optimizing for facial expressions, poses, and consistency. The project focused on dataset creation, model fine-tuning, and collaborative workflow documentation for generative AI. I used commercial and proprietary tools to facilitate data preparation and training for image-to-video pipelines. • Defined and refined training criteria for image dataset • Built a 256-image dataset for fine-tuning with commercial AI models • Documented reproducible workflows for team-wide use • Supported end-to-end data curation, model training, and evaluation

2024 - 2025

NIA AI Training Dataset Construction Project

Audio
I worked on quality inspection and refinement of virtual environment sound-matching datasets as part of an AI data training project. This involved reviewing, annotating, and verifying audio data to ensure labeling accuracy for model training. I participated in large-scale audio evaluation processes tailored for virtual settings. • Conducted quality inspection of audio labeling results • Provided feedback and refinement of labeled audio datasets • Supported consistency checks for annotated sound samples • Assisted in scaling dataset quality for AI training

I worked on quality inspection and refinement of virtual environment sound-matching datasets as part of an AI data training project. This involved reviewing, annotating, and verifying audio data to ensure labeling accuracy for model training. I participated in large-scale audio evaluation processes tailored for virtual settings. • Conducted quality inspection of audio labeling results • Provided feedback and refinement of labeled audio datasets • Supported consistency checks for annotated sound samples • Assisted in scaling dataset quality for AI training

2022 - 2022

Education

S

Sogang University

Master of Science, Art and Technology

Master of Science
2022 - 2024
S

Sungshin Women's University

Bachelor of Arts, Music Composition

Bachelor of Arts
2018 - 2022

Work History

S

SNOW

Creative AI Intern

Seoul
2025 - 2025
I

IPX

Generative AI R&D Freelancer

Seoul
2024 - 2025