Sangil Kim

Key Skills

Software

Labelbox

Top Subject Matter

image recognition in ICT industry

object recognition in Car industry

programming in software industry

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Action Recognition

Computer Programming Coding

Emotion Recognition

Freelancer Overview

With a robust background in research and development evaluation and extensive project management experience, I bring a unique blend of technical and strategic expertise to data labeling and AI training data roles. My tenure at the Korea Institute of Science & Technology Evaluation and Planning (KISTEP) has honed my skills in detailed documentation, data analysis, and technology assessment, all of which are crucial for high-quality data labeling. My experience includes leading comprehensive national R&D program evaluations and feasibility studies, where meticulous data handling and accurate interpretation of complex datasets were paramount. Additionally, my technical background as a research engineer at LG Electronics, where I designed system integrated circuits and developed software for GSM handsets, complements my analytical capabilities with practical engineering skills. This combination of strategic oversight, project management, and hands-on technical work makes me adept at managing large-scale data projects, ensuring precision and consistency in data labeling tasks, and effectively communicating findings to stakeholders. My proficiency in tools like Netminer, Tableau, and SPSS further enhances my ability to handle and analyze large datasets efficiently.

Labeling Experience

Autonomous Vehicle Image Annotation for AI Training

LabelboxImageBounding BoxSegmentation

As part of an advanced research initiative in the automotive industry, I was responsible for annotating extensive datasets of automotive images. The project aimed to develop and train AI models for autonomous vehicle navigation and safety systems. My tasks included creating detailed annotations such as semantic segmentation to outline specific elements (e.g., lanes, pedestrians) and using bounding boxes to identify and classify various objects (e.g., vehicles, traffic signs).

As part of an advanced research initiative in the automotive industry, I was responsible for annotating extensive datasets of automotive images. The project aimed to develop and train AI models for autonomous vehicle navigation and safety systems. My tasks included creating detailed annotations such as semantic segmentation to outline specific elements (e.g., lanes, pedestrians) and using bounding boxes to identify and classify various objects (e.g., vehicles, traffic signs).

2023 - 2023

Education

Work History