泽 奫.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI data annotation and content quality evaluation (Chinese content)

LLM prompt workflows and AI training preparation (Chinese)

Traditional Chinese culture/metaphysics terminology (Xiao Liu Ren, Qi Zheng Si Yu, Bagua/I Ching, Mei Hua Yi Shu)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Tracking

Entity (NER) Classification

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

AI Data Annotation & Content Evaluation Practice | Personal Projects / Practice Tasks. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Engineering, Zhengzhou University (2028). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Visual Content & Short-Video Material Creation | Personal Projects

OtherImageText Generation

You wrote prompts for ancient Chinese visual styles, character naming, and image detail improvement to support visual-content creation workflows. You applied basic visual judgment to guide image prompt quality. You also performed text proofreading to maintain accurate and consistent prompt text. • Ancient-style image prompt creation • Character naming and text proofreading • Image detail improvement guidance • Visual judgment to refine prompt outputs

2024 - Present

Traditional Chinese Metaphysics Content Understanding | Long-term Personal Study / Domain Knowledge

Don't discloseTextClassification

You used domain knowledge of traditional Chinese metaphysics and folk-culture systems to support content understanding for annotation workflows. You supported terminology recognition, topic classification, and semantic review for traditional culture, folklore, and divination-related data. You also performed compliance boundary checks based on these domain-specific contexts. • Terminology recognition and topic classification • Semantic review for traditional/ancient-style content • Compliance boundary checks for sensitive concepts • Domain-specific annotation support for divination vocabulary

2024 - Present

AI Tools & Prompt Workflow Practice | Personal Learning / Tool Configuration

OtherPrompt + Response Writing (SFT)Classification

You practiced building and optimizing prompt workflows using LLM tools, including ChatGPT and Claude/Codex. You used these tools for content creation, troubleshooting, configuration explanations, and iterative output review. You recorded inputs, outputs, exceptions, and solutions to enable easy reproduction and handover. • Prompt writing and decomposition into step-by-step tasks • Output review and quality improvement loops • Troubleshooting and workflow optimization • Reproducible documentation of prompt/task artifacts

2024 - Present

AI Data Annotation & Content Evaluation Practice | Personal Projects / Practice Tasks

Don't discloseTextClassificationTracking

You classified, described, and reviewed text, dialogue, and other content according to annotation guidelines while maintaining label consistency. You evaluated AI outputs for relevance, completeness, readability, and safety/compliance and provided concise revision suggestions. You identified ambiguous guideline boundaries, documented examples and issues, and helped reduce repeated annotation errors. • Text/dialogue content classification and review • Output evaluation on relevance, completeness, readability • Safety/compliance assessment and boundary checks • Ambiguity reporting and error reduction support

2024 - Present

Education

Work History