Sean Yuen Liu

Key Skills

Software

Data Annotation Tech

Top Subject Matter

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Freelancer Overview

I am an experienced data annotation specialist and prompt engineer with a strong background in AI model evaluation and training data workflows. My work includes forming and refining prompts, rating and editing AI-generated responses, and applying logical reasoning to align with diverse project goals across various LLMs. I have contributed to multiple annotation projects, reviewing and ensuring high-quality data for AI applications. My technical skills span Python, JavaScript, and cloud platforms like AWS, while my experience with Figma and user-oriented design allows me to approach data labeling with a keen attention to detail and usability. I am passionate about supporting the development of reliable AI systems through thoughtful, accurate data annotation and collaborative teamwork.

Labeling Experience

Prompt Engineer and Task Evaluator

Data Annotation TechTextEvaluation Rating

As a Prompt Engineer and Task Evaluator at Data Annotation Tech, I formed prompts, rated and edited responses, and applied logical reasoning with LLMs in diverse projects. My role involved reviewing others’ LLM task outputs, testing code prompts, and aligning contributions to specific project goals. I was responsible for evaluating and refining AI-generated responses in both natural language and code. • Performed evaluation and rating tasks for LLM outputs across various projects • Applied prompt engineering best practices and logical reasoning to improve model performance • Reviewed, edited, and provided feedback on AI-generated outputs and peer work • Tested AI capabilities using prompts in different programming languages and contexts.

As a Prompt Engineer and Task Evaluator at Data Annotation Tech, I formed prompts, rated and edited responses, and applied logical reasoning with LLMs in diverse projects. My role involved reviewing others’ LLM task outputs, testing code prompts, and aligning contributions to specific project goals. I was responsible for evaluating and refining AI-generated responses in both natural language and code. • Performed evaluation and rating tasks for LLM outputs across various projects • Applied prompt engineering best practices and logical reasoning to improve model performance • Reviewed, edited, and provided feedback on AI-generated outputs and peer work • Tested AI capabilities using prompts in different programming languages and contexts.

2025

Education

Work History