For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Z
Zhihan L.

Zhihan L.

AI Model Evaluation & Content Optimization Specialist

China flagCHONGQING, China

Key Skills

Software

CVATCVAT
Label StudioLabel Studio

Top Subject Matter

AI model evaluation
prompt engineering
AI-assisted content optimization.

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

ClassificationClassification
Text GenerationText Generation
Data CollectionData Collection
Text SummarizationText Summarization

Freelancer Overview

I have experience evaluating and optimizing AI-generated content in real-world business scenarios, particularly in cross-border e-commerce and social media operations targeting Southeast Asian markets. I regularly use and compare multiple large language models, including ChatGPT, Claude, DeepSeek, Gemini, and Codex, for tasks such as product copywriting, TikTok video script generation, customer communication, marketing strategy development, and workflow automation. To assess model performance, I evaluate outputs based on instruction-following, factual accuracy, logical consistency, localization quality, and business effectiveness. In addition, I have experience applying structured evaluation methods to compare model outputs and identify strengths and weaknesses across different AI systems. I perform fact-checking, detect hallucinations, refine prompts through iterative testing, and analyze real-world performance metrics such as engagement rates, video completion rates, click-through rates, and product purchases. I also conduct A/B testing to validate content quality and use business outcomes as feedback for prompt optimization and model selection.

Labeling Experience

While I have not worked in a dedicated data labeling role, I have extensive experience evaluating AI outputs, comparing

While I have not worked in a dedicated data labeling role, I have extensive experience evaluating AI outputs, comparing model responses, identifying errors and hallucinations, optimizing prompts, and assessing content quality across multiple large language models.

Not specified

Education

S

School: University of Auckland Program: Computer Science Status: Incoming Student (Expected Start: 2026)

School: University of Auckland Program: Computer Science Status: Incoming Student (Expected Start: 2026)

School: University of Auckland Program: Computer Science Status: Incoming Student (Expected Start: 2026)
Not specified

Work History

C

Company not specified

AI Model Evaluation & E-commerce Content Specialist Chongqing Youxiaoguo E-Commerce Co., Ltd

Location not specified
Not specified