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Auto Labeling Developer

모티프드라이브 · 서울 강남구 영동대로112길 42, 3층, 모티프드라이브

📅 26/08/2026
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• Object Detection 용 Auto Labeling 파이프라인 설계 및 개발 – 2D Bounding Box, 3D Box, Segmentation Mask 등 어노테이션 자동화 – 카메라 및 LiDAR 데이터에 대한 자동 레이블링 알고리즘 적용 • 사전 학습 모델(Pre-trained Model) 기반 자동 어노테이션 시스템 구축 – YOLO, DINO, SAM(Segment Anything Model) 등 최신 모델 활용 – Zero-shot / Few-shot 추론을 활용한 레이블 자동 생성 • 어노테이션 품질 검수 자동화 모듈 개발 – 신뢰도 기반 필터링, 중복 제거, Human-in-the-loop 검수 연계 • 학습 데이터 관리 파이프라인 구축 및 유지보수 – 데이터 버전 관리, 메타데이터 정합성 검증, 데이터셋 통계 분석 • Perception 모델 학습 팀과 협력하여 데이터 품질 지속 개선 • 어노테이션 툴 연동 및 내부 레이블링 플랫폼 개선
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.

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