Summary
Overview
Work History
Education
Skills
Timeline
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Hye-min Lee

Hye-min Lee

AI Data Project Manager
Gyeonggi-do

Summary

I am an AI data specialist with hands-on experience in data collection, annotation, and quality assurance for large-scale AI projects. I have led projects involving sensitive data filtering, de-identification, and guideline development, ensuring high-quality datasets for training AI models. With a strong background in both technical execution (Python automation, error detection) and cross-functional collaboration, I bring a balance of precision and teamwork to global data-driven projects.

Overview

5
5
years of professional experience

Work History

Kakao, AI Safety Data Team

Data Policy & Annotation Specialist
09.2024 - 01.2025
  • Participated in the Kanana Safeguard Project, a Korean-language AI safety dataset initiative.
  • Designed annotation guidelines for harmful content detection (hate speech, sexual content, legal risk).
  • Collaborated with disability support teams to train annotators and create accessible guidelines.
  • Supported evaluation dataset design (Easy, Hard, Challenge) for robust model benchmarking.

SK Shieldus (EQST Team)

Data Security & Quality Specialist
02.2022 - 10.2023
  • Conducted comprehensive vulnerability assessments across web, mobile applications, and IoT devices (smart locks, CCTV, and AI speakers) to identify security gaps.
  • Performed penetration testing, including web (Burp Suite, Fiddler) and mobile app analysis (Frida, reverse engineering, jailbreak/root bypass).
  • Designed and delivered security assessment reports, providing remediation steps to development teams, and validating fixes through re-testing.
  • Implemented data de-identification and sensitive information filtering to ensure compliance with privacy standards in AI training datasets.
  • Carried out threat modeling and risk analysis that reduced potential data exposure incidents by 20%, strengthening overall system resilience.

Select Star, AI Data Project Manager

AI Data Collection & Annotation PM
05.2020 - 01.2021
  • Managed four government-funded AI voucher projects, securing a 40% project margin.
  • Supervised over 500 annotators, ensuring that more than 33 million images, and 16,000 audio/text samples met client quality standards.
  • Delivered datasets for SK Telecom (FLO Music Tagging, MIREX Noise Classification, etc.).
  • Developed Python-based scripts to automatically detect and correct erroneous data during the collection process, ensuring higher dataset reliability and consistency.

Education

Bachelor of Science - Major in Information Security

Seoul Women’s University (SWU)
Seoul, South Korea
04.2001 -

Skills

- Data Collection, Annotation & Quality Assurance- Python (automation for error detection & data validation)- Vulnerability Assessment (Web, Mobile, IoT security testing)- Information Security & Data Governance- Problem-Solving & Cross-functional Collaboration- Communication & Client Training

Timeline

Kakao, AI Safety Data Team

Data Policy & Annotation Specialist
09.2024 - 01.2025

SK Shieldus (EQST Team)

Data Security & Quality Specialist
02.2022 - 10.2023

Select Star, AI Data Project Manager

AI Data Collection & Annotation PM
05.2020 - 01.2021

Bachelor of Science - Major in Information Security

Seoul Women’s University (SWU)
04.2001 -

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Hye-min LeeAI Data Project Manager