Hoang Vo

Key Skills

Software

Data Annotation Tech

Top Subject Matter

AI-generated code evaluation and technical natural language understanding

Top Data Types

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Computer Programming/Coding

Fine-tuning

Freelancer Overview

Data Annotator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech. Education includes Bachelor of Science, Western Governor University (2021) and Associate in Science, Shoreline Community College (2018). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator

Data Annotation Tech

As a Data Annotator at DataAnnotation.tech, I evaluated and analyzed AI-generated code explanations and solutions across various programming languages. My work focused on identifying errors, inconsistencies, and areas for improvement in AI model outputs, particularly within natural language generation in technical scenarios. I provided detailed feedback to refine the overall quality and accuracy of the models. • Conducted comparative analysis of code-based AI responses. • Rated output quality and provided structured feedback for machine learning models. • Assessed code for logical correctness, efficiency, and readability. • Applied domain expertise to enhance AI-assisted coding tools.

As a Data Annotator at DataAnnotation.tech, I evaluated and analyzed AI-generated code explanations and solutions across various programming languages. My work focused on identifying errors, inconsistencies, and areas for improvement in AI model outputs, particularly within natural language generation in technical scenarios. I provided detailed feedback to refine the overall quality and accuracy of the models. • Conducted comparative analysis of code-based AI responses. • Rated output quality and provided structured feedback for machine learning models. • Assessed code for logical correctness, efficiency, and readability. • Applied domain expertise to enhance AI-assisted coding tools.

2023 - Present

Education

Work History