Seigi Muraguchi

Key Skills

Software

Appen

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Task Types

Audio Recording

Translation Localization

Freelancer Overview

I have extensive experience in linguistic data review, content evaluation, and educational material development, specializing in high-accuracy language judgment and instruction clarity. With a background as a Japanese language educator and professional translator for more than 15 years, I have handled sensitive, technical, and instructional content that requires precision, consistency, and cultural accuracy. I have also worked on AI-related projects, applying my knowledge of language structures, NLP fundamentals, and data quality standards to evaluate and improve model outputs. My strengths include meticulous attention to detail, strong analytical skills, and the ability to apply linguistic rules to large datasets with consistency. I am experienced in identifying language patterns, correcting errors, and improving clarity—skills that directly support AI model alignment and reinforcement learning workflows. With native-level Japanese, strong English proficiency, and experience working within structured guidelines, I am confident in my ability to contribute high-quality training data for AI systems.

Labeling Experience

Japanese Linguistic Data Annotation and AI Output Evaluation

AppenTextText GenerationText Summarization

I worked on multiple text-based AI training projects involving Japanese linguistic annotation, output evaluation, and prompt-response task creation. My role included evaluating machine-generated text for accuracy, fluency, tone, and cultural appropriateness, as well as classifying sentence structures and correcting grammatical or contextual errors. I also contributed to RLHF and SFT workflows by ranking model responses, generating improved outputs, and writing prompts aligned with educational and practical use cases. These projects ranged from several thousand to tens of thousands of lines of text. I followed strict annotation guidelines, applied terminology consistency, and conducted self-QC to maintain high precision. My background as a professional translator and Japanese language educator enabled me to deliver reliable linguistic judgments and ensure high-quality datasets for model improvement.

I worked on multiple text-based AI training projects involving Japanese linguistic annotation, output evaluation, and prompt-response task creation. My role included evaluating machine-generated text for accuracy, fluency, tone, and cultural appropriateness, as well as classifying sentence structures and correcting grammatical or contextual errors. I also contributed to RLHF and SFT workflows by ranking model responses, generating improved outputs, and writing prompts aligned with educational and practical use cases. These projects ranged from several thousand to tens of thousands of lines of text. I followed strict annotation guidelines, applied terminology consistency, and conducted self-QC to maintain high precision. My background as a professional translator and Japanese language educator enabled me to deliver reliable linguistic judgments and ensure high-quality datasets for model improvement.

2020

Education

Work History