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李嘉图

李嘉图

AI Trainer | Prompt Engineer | Data Annotation Specialist | AI Agent Developer

United Kingdom flagUnited Kingdom

Key Skills

Software

Data Annotation TechData Annotation Tech
DatatureDatature
DatasaurDatasaur
DatumboxDatumbox
DatatroniqDatatroniq
DataloopDataloop
CrowdSourceCrowdSource

Top Subject Matter

Artificial Intelligence (AI) – 广泛覆盖 LLM、AI Trainer、AI Agent 开发
Machine Learning – 对模型训练、数据标注和RLHF项目相关
Content Creation / NLP – 涵盖 Prompt Engineering、文本生成、翻译、内容优化

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

PolygonPolygon
Text GenerationText Generation
Text SummarizationText Summarization
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Function CallingFunction Calling

Freelancer Overview

I have extensive experience working with AI systems, focusing on data annotation, AI model evaluation, prompt engineering, and AI agent development. My responsibilities have included assessing model-generated responses for accuracy, relevance, helpfulness, safety, and instruction-following quality, as well as identifying failure patterns and providing actionable feedback for model improvement. I have designed and tested prompts across a wide range of domains, including creative writing, translation, coding assistance, research, and conversational AI. Additionally, I have participated in data labeling and quality assurance workflows that support the development and optimization of large language models. My background in Computer Engineering allows me to approach AI training from both a technical and user-experience perspective. I am proficient in evaluating complex reasoning outputs, conducting multi-turn dialogue assessments, developing AI agents, and creating scalable prompt frameworks. My ability to combine analytical problem-solving, language expertise, and deep familiarity with modern LLMs enables me to consistently deliver high-quality evaluation results. I am particularly interested in AI training, RLHF, model benchmarking, and advanced prompt engineering projects where accuracy, consistency, and attention to detail are critical for success.

Labeling Experience

AI Training & Data Annotation Experience

VideoVideoData CollectionData Collection

I have practical experience in AI training, data annotation, prompt engineering, and AI agent development, with a strong focus on improving the performance and reliability of large language models (LLMs). My work includes evaluating AI-generated responses for accuracy, relevance, factuality, safety, reasoning quality, and instruction adherence across a wide range of domains. I have conducted response ranking, comparative evaluation, quality scoring, error identification, and structured feedback generation to support model improvement initiatives. In data annotation projects, I have worked with text classification, content labeling, conversational data assessment, intent recognition, instruction-following evaluation, and human preference ranking tasks. I am experienced in identifying hallucinations, logical inconsistencies, harmful outputs, and factual errors while providing detailed explanations for evaluation decisions. My background in Computer Engineering enables me to assess both technical and non-technical content with a high level of accuracy and consistency. Additionally, I have extensive experience using and testing advanced AI systems including ChatGPT, Claude, Gemini, and other LLM-based platforms. I have designed hundreds of prompts for content creation, translation, coding assistance, research, and workflow automation, gaining deep expertise in prompt optimization and model behavior analysis. I have also developed AI agents and automated workflows, allowing me to understand how training data quality directly impacts model performance. Key Areas of Expertise: • AI Training & Model Evaluation • Data Annotation & Quality Assurance • RLHF (Reinforcement Learning from Human Feedback) Workflows • Prompt Engineering & Prompt Optimization • Response Ranking & Preference Evaluation • Instruction-Following Assessment • Conversational AI Testing • AI Agent Development • Content Moderation & Safety Evaluation • Large Language Model Benchmarking • Python Programming • Technical Writing & Translation My combination of technical knowledge, analytical thinking, attention to detail, and hands-on experience with modern AI systems enables me to consistently deliver high-quality annotation, evaluation, and training contributions for AI development projects.

2024 - Present

Education

Z

ZHEJIANG University

University degree, achelor of Engineering, Computer Engineering

University degree
2020 - 2024

Work History

Y

Yiyao Technology Co., Ltd.

AI Design Director

HangZhou
2024 - 2026