Sean Park

Key Skills

Software

CVAT

Data Annotation Tech

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Evaluation Rating

Fine Tuning

Object Detection

Prompt Response Writing SFT

Text Summarization

Transcription

Freelancer Overview

I am a data annotation and AI training data specialist with hands-on experience debugging complex codebases and developing high-quality training examples across Python, TypeScript, Docker, and modern web technologies. My work includes creating comprehensive “golden” implementations for web applications, data pipelines, and containerized microservices, ensuring robust error handling and type safety. I have trained computer vision models, such as facial tone classification using the UTKFace dataset, and automated data cleaning and recommendation systems with PyTorch. My technical toolkit spans FastAPI, Django, Redis, PostgreSQL, and tools like Playwright for data scraping, giving me a strong foundation in building and refining datasets for machine learning applications. I am passionate about delivering accurate, efficient, and scalable data solutions that drive AI model performance.

Labeling Experience

AI Trainer (Data Annotation)

Data Annotation TechComputer Code ProgrammingComputer Programming Coding

As an AI Trainer specializing in data annotation, I debugged complex codebases across Python, TypeScript, Docker, and web technologies to resolve various issues. I created high-quality, corrected implementations of code that serve as training examples and established standards for accuracy and quality. My work involved the development of 'golden' code samples used directly for AI instruction, classification, and model supervision. • Debugged and annotated code to resolve errors, inefficiencies, and containerization issues. • Authored exemplary, bug-free code implementations for use as reference standards in training data. • Focused on web applications, data pipelines, and containerized microservices across multiple languages. • Ensured precise error handling and type safety in all training samples provided.

As an AI Trainer specializing in data annotation, I debugged complex codebases across Python, TypeScript, Docker, and web technologies to resolve various issues. I created high-quality, corrected implementations of code that serve as training examples and established standards for accuracy and quality. My work involved the development of 'golden' code samples used directly for AI instruction, classification, and model supervision. • Debugged and annotated code to resolve errors, inefficiencies, and containerization issues. • Authored exemplary, bug-free code implementations for use as reference standards in training data. • Focused on web applications, data pipelines, and containerized microservices across multiple languages. • Ensured precise error handling and type safety in all training samples provided.

2025

Education

Work History