Anh Vuong

Key Skills

Software

Data Annotation Tech

Labelbox

Top Subject Matter

AI-native gaming content

Top Data Types

Audio

Computer Code Programming

Text

Video

Image

Top Task Types

Computer Programming Coding

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Freelancer Overview

AI Data Trainer. Core strengths include internal and proprietary tooling. AI training focus includes data types such as text and labeling workflows including text, video, and image generation.

Labeling Experience

AI Data Engineer

Data Annotation TechTextData Collection

• Annotated and labeled in-game content, including dialogues, quests, and character interactions, to train multimodal large language models for AI-native games. • Ensured accuracy and consistency in data to enhance player immersion and optimize gaming experiences. • Collaborated with research and product teams to develop state-of-the-art AI models for language, audio, image, and video generation.

• Annotated and labeled in-game content, including dialogues, quests, and character interactions, to train multimodal large language models for AI-native games. • Ensured accuracy and consistency in data to enhance player immersion and optimize gaming experiences. • Collaborated with research and product teams to develop state-of-the-art AI models for language, audio, image, and video generation.

2024 - 2026

Freelance Developer

Data Annotation TechComputer Code ProgrammingEvaluation RatingComputer Programming Coding

• Train generative AI models provided by the platform to enhance coding efficiency and improve AI responses by documenting and rating the responses after code execution. • Evaluate the quality of AI-generated code written in JSON, XML, Python, C, and C++, providing detailed summaries and reports of the rationale. • Solve various coding problems such as Towers of Hanoi, Knapsack, and Fibonacci sequence, writing functional and efficient code to improve AI learning in its generated code. • Develop robust test cases to ensure the efficiency and effectiveness of AI-generated code.

• Train generative AI models provided by the platform to enhance coding efficiency and improve AI responses by documenting and rating the responses after code execution. • Evaluate the quality of AI-generated code written in JSON, XML, Python, C, and C++, providing detailed summaries and reports of the rationale. • Solve various coding problems such as Towers of Hanoi, Knapsack, and Fibonacci sequence, writing functional and efficient code to improve AI learning in its generated code. • Develop robust test cases to ensure the efficiency and effectiveness of AI-generated code.

2024

Software Engineer

Data Annotation TechComputer Code ProgrammingEvaluation RatingData Collection

• Enhanced AI chatbot LLM from Google AI’s Gemini provided by the platform improving coding accuracy by training datasets and refining algorithms. • Monitored and measured the progress of chatbots, ensuring they met development benchmarks. Wrote and evaluated code in Python, Java, JSON, and C++, maintaining high standards of quality and functionality. • Documented the logic and methodology behind my coding solutions, explaining what was fixed and how my code improved the AI model to fit with the user’s prompt.

• Enhanced AI chatbot LLM from Google AI’s Gemini provided by the platform improving coding accuracy by training datasets and refining algorithms. • Monitored and measured the progress of chatbots, ensuring they met development benchmarks. Wrote and evaluated code in Python, Java, JSON, and C++, maintaining high standards of quality and functionality. • Documented the logic and methodology behind my coding solutions, explaining what was fixed and how my code improved the AI model to fit with the user’s prompt.

2023 - 2023

Education

Work History