Rui S.

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models/Multilingual AI Evaluation

Text Classification/Data Annotation for AI

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Prompt Engineering & AI Evaluation (LLM Evaluation/Data Labeling). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Arts, Okayama University (2026) and Bachelor of Science, Prefectural University of Hiroshima (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation & Labeling (Text Classification/Response Evaluation)

TextClassification

Participated in text classification, annotation, and workflow management related to AI. Followed detailed labeling guidelines to classify responses and maintain consistency for AI model datasets. Showed interest and basic experience in reinforcement learning from human feedback (RLHF) and generative AI annotation. Supported the integrity and quality of annotated text data. • Applied structured annotation workflows • Ensured annotation consistency • Supported RLHF and generative AI use cases • Maintained dataset quality controls

2025 - Present

Prompt Engineering & AI Evaluation (LLM Evaluation/Data Labeling)

Text

Evaluated and refined AI-generated responses for large language models in multilingual settings. Performed response quality analysis including checks for factual accuracy, fluency, and reasoning consistency. Executed multilingual text evaluation tasks in Chinese, Japanese, and English as part of an AI prompt engineering team. Collaborated to maintain annotation quality and consistency. • Assessed LLM outputs for various prompt types • Identified and annotated language errors and inconsistencies • Worked within detailed evaluation guidelines • Provided multilingual support in text evaluation

2025 - Present

Education

Work History