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国杰 邱

国杰 邱

AI Model Training Specialist - Mechanical Engineering

China flagfoshan, China
$15.00/hrEntry LevelData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Translation Localization
Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented Mechanical Engineering graduate with strong analytical and problem-solving abilities, passionate about contributing to AI training data and model evaluation. My background includes hands-on experience with data analysis, simulations, and technical documentation in both Mandarin and English, ensuring high-quality and precise work. I am comfortable using AI tools like ChatGPT and Claude for daily tasks, and I am a quick learner when it comes to annotation and evaluation platforms. With a solid foundation in engineering principles and cross-lingual communication, I am eager to support AI alignment, data labeling, and domain-specific annotation projects—especially those related to engineering or technical content. I am fully available for remote work and thrive in independent, detail-focused environments.

Entry LevelEnglishCantoneseChinese Mandarin

Labeling Experience

Data Annotation Tech

LLM Response Evaluation and Preference Ranking

Data Annotation TechTextTranslation LocalizationPrompt Response Writing SFT
Participated in ongoing evaluation and annotation projects for large language models. Primary tasks included comparing multiple AI model outputs, ranking responses based on accuracy, helpfulness, instruction following, and safety guidelines, and providing detailed justifications for preferences. Completed hundreds of tasks involving diverse prompts such as email drafting, data categorization, reasoning problems, and structured output validation. Maintained high consistency and quality scores by strictly adhering to provided rubrics and project guidelines. Contributed to improving model performance through high-quality human feedback in reinforcement learning from human feedback (RLHF) workflows.

Participated in ongoing evaluation and annotation projects for large language models. Primary tasks included comparing multiple AI model outputs, ranking responses based on accuracy, helpfulness, instruction following, and safety guidelines, and providing detailed justifications for preferences. Completed hundreds of tasks involving diverse prompts such as email drafting, data categorization, reasoning problems, and structured output validation. Maintained high consistency and quality scores by strictly adhering to provided rubrics and project guidelines. Contributed to improving model performance through high-quality human feedback in reinforcement learning from human feedback (RLHF) workflows.

2022 - 2025

Education

F

Foshan University (佛山大学)

Bachelor of Engineering, Mechanical Engineering

Bachelor of Engineering
2022 - 2022

Work History

U

University Project Team

Mechanical Engineering Intern

Guangzhou
2022 - 2024