Carolina Lavalle

Key Skills

Software

Data Annotation Tech

OneForma

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I have hands on experience in AI training and data labeling through roles at DataAnnotation and Outlier where I contributed to high impact projects involving text, image and video datasets. My responsabilities have included sentiment tagging, text classification, bounding box annotation, and quality assurance. In addition to annotation, I've served as a reviewer for Phase 1 and 2 taskers on high level projects, ensuring accuracy, consistency and adherence to evolving guidelines. This experience has sharpened my eye for detail and deepened my understanding of model training workflows. What sets me apart is not only my precision and adaptability, but also my fluency in Spanish, English and french, which allows me to work across multilingual datasets and contribute to global AI systems. With a strong foundation in Data Analytics and a keen ability to support the development of intelligent, inclusive and high performing AI models.

Labeling Experience

AI TRAINING AND ANNOTATION

Data Annotation TechTextClassificationText Generation

Worked on high level AI training projects through DataAnnotation and Outlier, contributing to the development of large language models and computer vision systems. Tasks included: annotation text for classification and sentiment, labeling images eith bounding boxes, and reviewing Phase 1 taskers for quality assurance, among other things. Projects involved multilingual datasets in English, Spanish and French, supporting inclusive model training across diverse linguistic and localized contexts. Maintained high accuracy standars and adapted quickly to evolving annotation guidelines.

Worked on high level AI training projects through DataAnnotation and Outlier, contributing to the development of large language models and computer vision systems. Tasks included: annotation text for classification and sentiment, labeling images eith bounding boxes, and reviewing Phase 1 taskers for quality assurance, among other things. Projects involved multilingual datasets in English, Spanish and French, supporting inclusive model training across diverse linguistic and localized contexts. Maintained high accuracy standars and adapted quickly to evolving annotation guidelines.

2024 - 2025

Education

Work History