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Yeji K.

Yeji K.

AI Trainer | Data Annotation (remote)

New Zealand flagAuckland, New Zealand

Key Skills

Software

Don't disclose

Top Subject Matter

LLM training
bilingual (Korean/English) data annotation
prompt/response feedback

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Trainer | Data Annotation (remote). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Computer and Information Sciences, Auckland University of Technology (2026) and Foundation Programme, UP International College (2026). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Front of House Staff | My Fried Chicken AI Prompt Evaluation & Content Analysis

Don't discloseTextText

Performed AI prompt evaluation and content analysis as part of AI-related quality work. Followed detailed procedures and company standards while handling multiple priorities in a fast-paced environment. Used attention to detail to support the evaluation and quality assurance process. • Evaluated AI prompts and assessed associated content. • Ensured outputs met quality requirements through careful review. • Managed multiple tasks while maintaining accuracy and professionalism. • Followed standardized procedures to maintain consistency.

2026 - Present

AI Trainer | Data Annotation (remote)

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Worked as an AI Trainer performing data annotation tasks for large language model (LLM) related training. Reviewed and corrected labeling outputs to ensure data quality and consistency across bilingual data. Provided structured feedback based on the meaning of LLM and the expected responses. • Maintained high accuracy and consistency while reviewing large volumes of data. • Identified and corrected labeling errors to improve reliability. • Completed bilingual LLM tasks in Korean and English. • Supplied structured feedback to support LLM training and improvement.

2025 - Present

Education

U

UP International College

Foundation Programme, Foundation Programme

Foundation Programme
2025 - 2026
A

Auckland University of Technology

Bachelor of Computer and Information Sciences, Computer and Information Sciences

Bachelor of Computer and Information Sciences
2026

Work History

M

My Fried Chicken

Front of House Staff

Auckland
2026 - Present