Alice Nguyen

Key Skills

Software

Appen

Label Studio

Lionbridge

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Medical Dicom

Text

Video

Top Label Types

Audio Recording

Classification

Data Collection

Mapping

Transcription

Translation Localization

Freelancer Overview

I am an experienced AI data labeling and evaluation specialist with a strong background in search relevance rating, LLM response evaluation, and translation/localization QA for both Vietnamese and English. I have worked remotely with leading platforms such as Appen, TELUS International AI, RWS, and Human Signal (Label Studio), where I consistently apply detailed guidelines, deliver clear rationales, and ensure high-quality, consistent annotations. My expertise includes intent analysis, quality audits, error categorization, and resolving disagreements in high-volume projects. I am proficient with industry-standard tools like Label Studio, Doccano, Labelbox, Google Sheets, and various CAT and QA platforms. My attention to detail, ability to handle edge cases, and experience with multilingual data make me confident in supporting high-quality AI training data pipelines across diverse domains.

Labeling Experience

AI Data Rater — Search Relevance & Landing Page Quality QA (VI/EN)

Label StudioTextTranslation LocalizationMapping

Bilingual (VI/EN) search relevance and web content quality evaluation for AI training. Applied detailed guidelines to judge query intent match, relevance, usefulness, and expected user satisfaction. Reviewed landing pages for content quality, trust signals, Vietnam localization fit, and spam/low-quality patterns. Wrote consistent, concise rationales and flagged edge cases or unclear guideline scenarios for calibration. Performed QA checks and disagreement resolution to maintain label consistency across reviewers. Comfortable working in high-volume queues with spreadsheet-based tracking and audit notes.

Bilingual (VI/EN) search relevance and web content quality evaluation for AI training. Applied detailed guidelines to judge query intent match, relevance, usefulness, and expected user satisfaction. Reviewed landing pages for content quality, trust signals, Vietnam localization fit, and spam/low-quality patterns. Wrote consistent, concise rationales and flagged edge cases or unclear guideline scenarios for calibration. Performed QA checks and disagreement resolution to maintain label consistency across reviewers. Comfortable working in high-volume queues with spreadsheet-based tracking and audit notes.

2019

Education

Work History