Tu Van

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Label Types

Fine Tuning

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Transcription

Freelancer Overview

I am a detail-oriented Digital Enterprise Management student with strong experience in data analytics, user experience research, and digital project management. My background includes leading teams to conduct research, analyze data, and implement improvements based on user feedback—skills that are directly relevant to data labeling and AI training data roles. I am proficient in tools such as Figma, HTML/CSS, and various data analysis platforms, and have hands-on experience organizing and testing digital assets to ensure accuracy and consistency. My work in website development and UX/UI design has strengthened my ability to annotate, validate, and manage data for AI-driven projects, and I thrive in collaborative environments where precision and efficiency are key.

Labeling Experience

Generative AI Labeler

LabelboxTextText GenerationEvaluation Rating

The main goal of the project was to generate diverse training data to enhance the capabilities of the model. I was tasked with reviewing the generated response, design rubrics to assess the quality of the assistant's answer, and look for memory and logic error.

The main goal of the project was to generate diverse training data to enhance the capabilities of the model. I was tasked with reviewing the generated response, design rubrics to assess the quality of the assistant's answer, and look for memory and logic error.

2025

Generative AI Labeler

LabelboxAudioFine TuningEvaluation Rating

As a Generative AI Labeler at Alignerr, I assessed the performance of AI models through audio and video outputs. I created rubrics to grade and evaluate AI responses, focusing on audio generation, understanding, and context reasoning. I generated prompt questions via audio and labeled generated audio files with high precision. • Annotated audio files with tags such as <external-sound>, <unintelligible>, <pause>. • Followed detailed instructions for consistent, high-quality results. • Evaluated AI answers based on established criteria. • Worked under tight deadlines to ensure timely completion of tasks.

As a Generative AI Labeler at Alignerr, I assessed the performance of AI models through audio and video outputs. I created rubrics to grade and evaluate AI responses, focusing on audio generation, understanding, and context reasoning. I generated prompt questions via audio and labeled generated audio files with high precision. • Annotated audio files with tags such as <external-sound>, <unintelligible>, <pause>. • Followed detailed instructions for consistent, high-quality results. • Evaluated AI answers based on established criteria. • Worked under tight deadlines to ensure timely completion of tasks.

2025

Education

Work History