Canyang T.

Key Skills

Software

Don't disclose

Top Subject Matter

Art Domain Expertise

Cultural Narratives

Museum Exhibitions

Top Data Types

Text

Image

Top Task Types

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Text Data Curation and Classification (Equivalent Experience). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Fine Arts, Xi'an Academy of Fine Arts (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Prompt + Response Writing (SFT).

Labeling Experience

Image Tagging and Metadata Annotation (Equivalent Experience)

ImageClassification

My internship at the Fujian Art Museum involved conducting descriptive photography and producing metadata, directly akin to image labeling for computer vision tasks. Responsibilities included visually documenting exhibitions and tagging photographs for organized retrieval, simulating classification and tagging required in AI-powered image datasets. I developed strong skills in visual categorization and descriptive annotation, which are crucial for training computer vision algorithms. • Documented exhibitions through structured photographic practice. • Created metadata and image descriptions, mirroring data annotation processes. • Developed visual categorization skills, aiding future image labeling. • Organized and tagged visual content for efficient dataset management.

2026 - 2026

Prompt and Response Preparation for Supervised Fine-Tuning (Equivalent Academic Experience)

TextPrompt + Response Writing (SFT)

Through my academic work in analyzing and explaining nuanced art historical concepts and cross-cultural exchanges, I prepared clear, structured prompts and responses, an essential skill for supervised fine-tuning (SFT) in AI training. The capacity to distill complex topics into structured content directly supports prompt/response dataset creation. My training emphasized clarity, precision, and logical development of text used in AI model instruction. • Researched and presented on multifaceted topics, mimicking SFT prompt writing. • Translated complex academic analysis into clear, actionable text. • Developed structured language and logical textual argumentation. • Practiced detailed evaluation and summarization of diverse content.

2021 - 2025

Text Data Curation and Classification (Equivalent Experience)

TextClassification

I developed detailed skills relevant to text data curation and annotation through editing the 'Artistic Twisted History' column and analyzing related readership data. This experience involved categorizing complex cultural narratives and refining content for clarity, mirroring the requirements of labeling and curating text data for AI training purposes. Rigorous attention to textual detail and ability to sort and structure editorial content underpinned my preparation for text classification and categorization tasks. • Edited and structured culturally rich text for clarity and audience engagement. • Categorized narratives, simulating common text labeling workflows. • Evaluated and improved editorial content, analogous to dataset refinement. • Analyzed audience metrics to iterate on content curation.

2022 - 2023

Education

Work History