For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Le Minh Nguyen

Le Minh Nguyen

AI Data Annotator - Natural Language & Image Labeling

USA flagLos Angeles, Usa
$10.00/hrIntermediateAppenLabelboxRemotasks

Key Skills

Software

AppenAppen
LabelboxLabelbox
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage

Top Task Types

Audio Recording
Data Collection
Text Generation
Translation Localization

Freelancer Overview

Over the past few years, I’ve been involved in a variety of data labeling projects for AI companies such as Scale AI, Remotasks, and Appen. My work has primarily focused on annotating text and images to support training models in areas like natural language processing, computer vision, and chatbot assessment. Whether it's classifying content, tagging images, or reviewing AI-generated responses, I’ve come to understand how essential quality and consistency are for developing smart and safe AI systems. I bring a keen attention to detail, a strong sense of responsibility, and the ability to adapt quickly to new tools and guidelines. I enjoy breaking down complex tasks, following clear instructions, and knowing that my contributions directly influence how AI systems perform in real-world applications. I take pride in delivering clean, accurate data that enhances the functionality and helpfulness of these systems.

IntermediateEnglishJapaneseVietnamese

Labeling Experience

Scale AI

Xylophone Conversation Vietnamese

Scale AITextPrompt Response Writing SFT
The Xylophone Conversation project is a remote, crowd-sourced task where participants engage in real-time conversations via Zoom. These conversations are designed to train AI models to better understand human speech patterns, emotions, and conversational dynamics. The project is structured to ensure that each conversation is meaningful and contributes valuable data for AI training.

The Xylophone Conversation project is a remote, crowd-sourced task where participants engage in real-time conversations via Zoom. These conversations are designed to train AI models to better understand human speech patterns, emotions, and conversational dynamics. The project is structured to ensure that each conversation is meaningful and contributes valuable data for AI training.

2025 - 2025

Education

U

University of Economics Ho Chi Minh City

Bachelor of Business, Financial Accounting

Bachelor of Business
2022 - 2025

Work History

A

Avance Consulting

Data Annotator

New Jersey
2024 - 2024
C

Cube

Data Analyst

Marina Bay
2023 - 2023