For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
최연신

최연신

Code Debugging & STEM AI Trainer

SOUTH_KOREA flag
Seoul, South Korea
$30.00/hrIntermediateLabelboxCVATLabel Studio

Key Skills

Software

LabelboxLabelbox
CVATCVAT
Label StudioLabel Studio

Top Subject Matter

Coding Domain Expertise
STEM (science, technology, engineering, mathematics)
Korean natural language

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

RLHF
Text Generation
Classification

Freelancer Overview

Code Debugging & STEM AI Trainer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Engineering, Hanyang Women's University (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including RLHF, Text Generation, and Classification.

IntermediateEnglishKorean

Labeling Experience

Technical Domain Data Labeling Specialist

Classification
Specializing in labeling tasks in technical domains, this role required an understanding of financial trading logic and mobile app frameworks to ensure precise labeling of specialized datasets. Tasks spanned validating API responses and application structures, leveraging strong technical knowledge. Special emphasis was placed on correct annotation of Binance API and Flutter application logic. • Labeled data related to financial trading using Binance API. • Annotated and validated mobile app logic for Flutter architecture. • Ensured technical precision in complex domain-specific sets. • Applied domain knowledge to support AI model training in finance and app development.

Specializing in labeling tasks in technical domains, this role required an understanding of financial trading logic and mobile app frameworks to ensure precise labeling of specialized datasets. Tasks spanned validating API responses and application structures, leveraging strong technical knowledge. Special emphasis was placed on correct annotation of Binance API and Flutter application logic. • Labeled data related to financial trading using Binance API. • Annotated and validated mobile app logic for Flutter architecture. • Ensured technical precision in complex domain-specific sets. • Applied domain knowledge to support AI model training in finance and app development.

Present

ML Data Labeling & Quality Analyst

TextClassification
The role involved analytical processing of raw datasets through data cleaning, structuring, and validation to prepare high-quality machine learning training sets. Work included identifying and correcting edge cases and subtle errors, such as AI hallucinations, by cross-referencing multiple data sources. R and Python tools were employed for integrity and consistency assurance. • Cleaned and structured large raw text datasets for ML use. • Spotted and corrected edge cases, including AI hallucinations. • Used R and Python for data analysis and processing. • Cross-referenced sources to validate data accuracy and completeness.

The role involved analytical processing of raw datasets through data cleaning, structuring, and validation to prepare high-quality machine learning training sets. Work included identifying and correcting edge cases and subtle errors, such as AI hallucinations, by cross-referencing multiple data sources. R and Python tools were employed for integrity and consistency assurance. • Cleaned and structured large raw text datasets for ML use. • Spotted and corrected edge cases, including AI hallucinations. • Used R and Python for data analysis and processing. • Cross-referenced sources to validate data accuracy and completeness.

Present

Korean Language Data Annotator

TextText Generation
This position focused on adjusting linguistic and cultural nuances within Korean language datasets to enhance the output of large language models. Tasks included fine-tuning tone, honorifics, cultural context, and slang to adhere to evolving language standards and guideline specifications. Consistent instruction following ensured labeling accuracy and alignment with complex requirements. • Tuned Korean language data for tone, honorifics, and culture. • Applied modern slang and context to natural language outputs. • Adhered strictly to nuanced and complex labeling guidelines. • Improved the naturalness and safety of LLM responses through careful annotation.

This position focused on adjusting linguistic and cultural nuances within Korean language datasets to enhance the output of large language models. Tasks included fine-tuning tone, honorifics, cultural context, and slang to adhere to evolving language standards and guideline specifications. Consistent instruction following ensured labeling accuracy and alignment with complex requirements. • Tuned Korean language data for tone, honorifics, and culture. • Applied modern slang and context to natural language outputs. • Adhered strictly to nuanced and complex labeling guidelines. • Improved the naturalness and safety of LLM responses through careful annotation.

Present

Code Debugging & STEM AI Trainer

RLHF
This role involved identifying logical and syntax errors in AI-generated code and providing detailed step-by-step reasoning to optimize and correct solutions. Quality assurance and fact-checking of complex scientific and mathematical explanations were also performed to maintain high accuracy. The task required strong STEM knowledge and the ability to ensure logical flow in code-based outputs. • Performed RLHF on Python, Java, Dart, and C++ code outputs. • Fact-checked scientific or mathematical explanations for AI models. • Provided optimization steps for AI-generated code. • Ensured logical consistency and 100% factual accuracy in technical content.

This role involved identifying logical and syntax errors in AI-generated code and providing detailed step-by-step reasoning to optimize and correct solutions. Quality assurance and fact-checking of complex scientific and mathematical explanations were also performed to maintain high accuracy. The task required strong STEM knowledge and the ability to ensure logical flow in code-based outputs. • Performed RLHF on Python, Java, Dart, and C++ code outputs. • Fact-checked scientific or mathematical explanations for AI models. • Provided optimization steps for AI-generated code. • Ensured logical consistency and 100% factual accuracy in technical content.

Present

Education

H

Hanyang Women's University

Bachelor of Engineering, Engineering

Bachelor of Engineering
2024

Work History

N

N/A

Software Developer

Seoul
2021 - 2022
N

N/A

Mobile Application Developer

Seoul
2020 - 2021