Wang Y.

Key Skills

Software

Other

Top Subject Matter

Simplified Chinese AI response evaluation and LLM evaluation

Content quality review and text annotation

English-to-Simplified Chinese localization and language quality review

Top Data Types

Text

Document

Top Task Types

Text Summarization

Classification

Evaluation/Rating

Data Collection

Question Answering

Freelancer Overview

I am a native Simplified Chinese speaker and an undergraduate student in Safety Engineering based in Wuhan, China. I am interested in entry-level AI training, data labeling, LLM evaluation, content quality review, and English-to-Chinese localization tasks. My strengths include Chinese fluency judgment, instruction-following checks, factual accuracy review, structured feedback writing, and careful guideline-based evaluation. I have practiced reviewing AI-generated responses for clarity, usefulness, cultural fit, and reasoning problems. I can also organize fragmented information, polish Chinese text, and localize English content into natural Simplified Chinese.

Labeling Experience

English-to-Simplified Chinese Localization Practice

OtherTextEvaluation/Rating

Practiced English-to-Simplified Chinese localization by reviewing wording, fluency, clarity, and cultural fit. Focused on improving translated content so it reads naturally for Chinese users instead of sounding like a direct machine translation. Reviewed sentence structure, terminology, tone, and readability, and wrote short feedback explaining translation issues, unnatural expressions, and suggested improvements.

2026 - Present

Content Organization and Quality Review Practice

OtherTextText Summarization

Practiced organizing fragmented study materials, notes, and reference content into clear structured documents. Focused on identifying key points, removing repetition, improving readability, and turning scattered information into usable summaries, checklists, and step-by-step explanations. Also reviewed AI-assisted summaries for accuracy, completeness, clarity, and whether they followed the original task requirements.

2026 - Present

AI Response Evaluation Practice

OtherTextEvaluation/Rating

Practiced evaluating AI-generated responses in Simplified Chinese using criteria such as instruction following, factual accuracy, Chinese fluency, cultural fit, safety, clarity, and practical usefulness. Reviewed whether responses answered the user's request, respected constraints, avoided fabricated information, and provided clear reasoning. Also practiced comparing two AI responses and explaining which one was better with concrete reasons.

2026 - Present

Education

Work History