曹冰

Key Skills

Software

Appen

Top Subject Matter

AI Text Evaluation and Annotation Engineer (Medical Data Processing)

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

I am a motivated graduate student at Kunming University with a strong interest in artificial intelligence, automation, and emerging technologies. I have been actively learning Python, Linux systems, AI tools, and workflow automation through self-study and practical exploration. I am able to read technical English documentation and quickly adapt to new platforms and tools. My academic background in Resource Utilization and Plant Protection has helped me develop analytical thinking, research skills, and attention to detail. I am particularly interested in AI training, data evaluation, content review, and AI-assisted workflows. I am eager to gain practical experience in AI data annotation and model evaluation projects while continuing to improve my technical and analytical abilities.Although I do not yet have formal professional experience in AI data annotation, I have independently explored AI-related workflows, automation tools, and large language model applications. I have experience testing AI-generated responses, evaluating output quality, and studying prompt-based interactions with AI systems. In addition, I have explored Python automation concepts, Linux environments, and AI-assisted workflows involving Telegram bots, VPS systems, and command-line tools. Through self-learning, I have developed strong attention to detail, problem-solving skills, and the ability to follow complex instructions carefully. I am highly motivated to contribute to AI training and data evaluation projects while continuing to expand my practical experience.

Labeling Experience

AI Response Evaluation and Workflow Exploration

TextRLHF

Independently explored AI response evaluation and workflow automation through self-learning projects focused on large language models and AI-assisted systems. Evaluated AI-generated outputs for clarity, relevance, consistency, and instruction-following quality. Worked with AI interaction workflows involving prompt testing, conversational response review, and basic automation concepts. Explored Linux environments, command-line tools, and Python-based automation workflows related to Telegram bots and VPS systems. Focused on attention to detail, structured evaluation, and quality checking while learning how AI systems generate and process responses. Continuously improving understanding of AI training workflows, annotation standards, and model evaluation practices.

2025 - 2026

Education

Work History