Gabriel Estevez

Key Skills

Software

AWS SageMaker

Doccano

Labelbox

Prodigy

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Video

Top Task Types

Bounding Box

Classification

Entity Ner Classification

Translation Localization

Freelancer Overview

I have a solid foundation in data analysis and programming, with hands-on experience using Python for data cleaning, classification, and annotation tasks. I’m familiar with labeling tools such as Labelbox and Doccano, and have worked with different data types including text, image, and audio. My background in Systems Engineering has given me strong logical and analytical skills that I apply when evaluating or categorizing data for AI model training. I’m especially interested in projects involving natural language processing, LLM evaluation, and text classification in Spanish and English. I pay close attention to detail and consistency in labeling, and I enjoy contributing to the development of high-quality datasets that improve AI performance and reliability.

Labeling Experience

Spanish Text Annotation and LLM Response Evaluation

Scale AITextText SummarizationData Collection

Participated in a data labeling project focused on evaluating and annotating AI-generated text in Spanish. Tasks included classifying responses by accuracy, tone, and helpfulness, as well as labeling user queries by intent and sentiment. Followed detailed guidelines to ensure consistency and linguistic accuracy in Spanish. Contributed to model fine-tuning by providing high-quality, human-reviewed annotations used for supervised learning.

Participated in a data labeling project focused on evaluating and annotating AI-generated text in Spanish. Tasks included classifying responses by accuracy, tone, and helpfulness, as well as labeling user queries by intent and sentiment. Followed detailed guidelines to ensure consistency and linguistic accuracy in Spanish. Contributed to model fine-tuning by providing high-quality, human-reviewed annotations used for supervised learning.

2024 - 2024

Text and Image Classification for AI Model Training

LabelboxImageBounding BoxEntity Ner Classification

ollaborated on a data labeling project aimed at improving multilingual AI model performance. Tasks included annotating text data in Spanish and English for sentiment and topic classification, identifying named entities (NER), and labeling objects in images using bounding boxes. Ensured data accuracy through double-check reviews and consistent labeling criteria. Worked with small to medium datasets and followed strict quality assurance guidelines to maintain high annotation precision.

ollaborated on a data labeling project aimed at improving multilingual AI model performance. Tasks included annotating text data in Spanish and English for sentiment and topic classification, identifying named entities (NER), and labeling objects in images using bounding boxes. Ensured data accuracy through double-check reviews and consistent labeling criteria. Worked with small to medium datasets and followed strict quality assurance guidelines to maintain high annotation precision.

2024 - 2024

Education

Work History