Jack

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Music (music theory, music generation, instrument teaching) and conversational AI content evaluation

General AI training (LLM usage, evaluation, and prompt-based content generation)

Conversational AI & Emotional Intelligence (sentiment analysis, empathetic dialogue, mental health support)

Top Data Types

Text

Image

Audio

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Question Answering

Text Generation

Evaluation/Rating

Transcription

Classification

Text Summarization

Fine-tuning

Entity (NER) Classification

Red Teaming

Freelancer Overview

I hold an ABRSM Grade 5 Theory Certificate, have over 8 years of trumpet playing experience and more than 5 years of saxophone playing experience. I won 1 gold and 3 silver awards in the Inter-School Music Festival for four consecutive years, and served as the first trumpet player in both the KYSB Wind Orchestra and the school wind orchestra. I am able to provide accurate and professional human feedback for tasks such as AI music generation, music theory Q&A, and instrument teaching content review, and can accurately assess the theoretical correctness, performance feasibility and emotional expression accuracy of AI-generated sheet music. I have a solid academic foundation in Accounting and ICT. I am a daily power user of major large language models such as Doubao and DeepSeek, with extensive experience in using AI tools and the ability to independently think about AI application scenarios. I am naturally endowed with keen emotional perception, able to accurately capture emotions, tones and subtext in written text. Fluent in both Mandarin and Cantonese, I can efficiently complete various types of Chinese dialogue evaluation, content annotation and sentiment analysis tasks.

Labeling Experience

Self-directed LLM-based AI training and content generation practice

OtherTextPrompt + Response Writing (SFT)

Used major LLMs (e.g., Doubao and DeepSeek) for text generation, information organization, and problem-solving as part of daily AI training practice. Built AI application ideas that connect user mood, taste preferences, dietary restrictions, and geography to produce recommendation-oriented content. Performed self-directed evaluation of AI-generated content quality based on understanding of model limitations. • Generated and organized responses using large language models • Designed an intelligent dish recommendation solution concept using user context • Evaluated response quality using knowledge of LLM strengths and limitations • Iterated prompts/tool usage for more accurate task outputs

2020

Freelance AI Trainer / Content Evaluation for Conversational AI (Music-related)

Don't discloseText

Provided human-like evaluation and feedback for conversational AI outputs related to music generation, music theory Q&A, and instrument teaching content. Applied emotional perception and language comprehension to assess tone, appropriateness, and subtext in written responses. Ensured outputs matched task requirements through detail-oriented review and optimization. • Assessed music-related AI-generated content quality for usefulness and correctness • Evaluated conversational tone, emotion, and appropriateness of written text • Reviewed content for alignment with music theory and instructional expectations • Followed annotation/evaluation guidelines strictly

2020

Education

Work History