Facundo Exequiel Ramos

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data labeling and quality assurance for AI and software projects. My background includes working in fast-paced, tech-driven environments where I performed data validation, annotation, and testing to ensure model accuracy and performance. I am skilled in maintaining data consistency, identifying anomalies, and following precise labeling guidelines across image, text, and structured datasets. In addition to my technical accuracy, I bring strong analytical thinking and communication skills that enable efficient collaboration with data scientists and developers. I am proficient with tools like JIRA, Confluence, and Postman, and have experience working under Agile methodologies. My commitment to precision, adaptability, and continuous improvement allows me to contribute effectively to projects that require both speed and high-quality results.

Labeling Experience

Spanish NLP Training Dataset

LabelboxTextText Summarization

Annotated Spanish-language customer service interactions to train NLP models in sentiment detection and entity recognition. Standardized categories for tone, intent, and named entities (person, company, location). Focused on language nuances, idioms, and regional expressions from Latin America to enhance the model’s understanding of Spanish variants. Achieved high labeling consistency and validated accuracy metrics with QA reviews.

Annotated Spanish-language customer service interactions to train NLP models in sentiment detection and entity recognition. Standardized categories for tone, intent, and named entities (person, company, location). Focused on language nuances, idioms, and regional expressions from Latin America to enhance the model’s understanding of Spanish variants. Achieved high labeling consistency and validated accuracy metrics with QA reviews.

2025 - 2025

NLP Sentiment & Intent Analysis Project

Scale AITextText Generation

Labeled and classified customer feedback and system logs into sentiment and intent categories. Created custom taxonomies and improved NLP model accuracy through high-quality annotations, achieving 95% inter-annotator agreement.

Labeled and classified customer feedback and system logs into sentiment and intent categories. Created custom taxonomies and improved NLP model accuracy through high-quality annotations, achieving 95% inter-annotator agreement.

2025 - 2025

Gaming Asset Classification Project

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Annotated 3D game assets for object detection and texture recognition models. Labeled thousands of images and in-engine screenshots to train CV algorithms for quality assurance in gaming environments. Focused on polygon precision, inter-annotator consistency, and visual accuracy.

Annotated 3D game assets for object detection and texture recognition models. Labeled thousands of images and in-engine screenshots to train CV algorithms for quality assurance in gaming environments. Focused on polygon precision, inter-annotator consistency, and visual accuracy.

2024 - 2024

Education

Work History