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Lucia Chang

Lucia Chang

AI Training & Data Annotation Specialist with QA Expertise

ARGENTINA flag
buenos aires, Argentina
$3.50/hrIntermediateSuperannotateInternal Proprietary Tooling

Key Skills

Software

SuperAnnotateSuperAnnotate
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
Medical DicomMedical Dicom
TextText

Top Label Types

Classification
Data Collection
Evaluation Rating
Text Generation
Text Summarization

Freelancer Overview

I have hands-on experience in data curation and quality assurance for AI training projects, with a strong focus on accuracy and consistency. In my previous role, I curated restaurant menu data by categorizing items according to course type, ingredients, dish types, allergens, and dietary restrictions. This work required precise labeling, adherence to detailed guidelines, and constant quality checks to ensure reliable datasets for machine learning models. I am proficient in using Excel, Google Sheets, and internal labeling platforms such as Curator Tool to manage and validate large volumes of data efficiently. My strongest skills include attention to detail, bilingual text review (English–Spanish), and healthcare knowledge, which allow me to deliver accurate annotations across different subject areas. I adapt quickly to new tools and processes, and I have experience both executing and supervising QA tasks. With this background, I bring a combination of technical precision and domain expertise that ensures high-quality labeled data for AI systems.

IntermediateEnglish

Labeling Experience

No Data Labeling experience added

Lucia C. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.

Education

U

UCA Buenos Aires

Diploma, Clinical Research

Diploma
2023 - 2024
B

Buenos Aires University

Bachelor's Degree, Nutrition

Bachelor's Degree
2014 - 2022

Work History

C

Confidential Client |

Freelance AI Data Annotation

Buenos Aires
2025 - 2025
F

FoodStyles

Head of Curation - QA Department

Remote
2022 - 2025