Key Skills

Software

Data Annotation Tech

OneForma

Remotasks

Telus

Scale AI

Top Subject Matter

Multimodal Imagery LLM Evaluation

LLM Evaluation in English and Spanish

Satellite Image Classification

Top Data Types

Audio

Image

Video

Top Task Types

Evaluation Rating

Fine Tuning

Text Generation

Freelancer Overview

I am an experienced data labeling and AI training specialist with a strong background in refining and evaluating large language models in both English and Spanish. My expertise includes working on multimodal projects involving imagery, graphs, JSON data, and audio, ensuring high-quality outputs for global clients. I bring a detail-oriented approach and a commitment to delivering precise and impactful results. Data Labeling/AI Training Experience • Refining and Evaluating LLMs: Conducted in-depth assessments and enhancements of large language models in English and Spanish to improve contextual accuracy, user interaction, and functionality. • Multimodal Project Evaluations: Evaluated AI performance with diverse inputs, including visual imagery, graphs, JSON datasets, and audio files, to ensure seamless integration and performance across modalities. • Quality Assurance: Delivered high-quality annotations and feedback, contributing to the development of more robust and versatile AI systems.

Labeling Experience

Dolphin Multimodal Project: LLM Evaluation and Refinement

Scale AIImageText GenerationData Collection

I contributed to the Dolphin Multimodal Project by evaluating and refining large language models (LLMs) designed to process diverse data types, including imagery, graphs, and JSON files. Tasks included assessing model performance, annotating multimodal data, and providing actionable feedback to improve contextual understanding and output accuracy. Focused on ensuring seamless integration across data modalities and enhancing model usability in practical applications.

I contributed to the Dolphin Multimodal Project by evaluating and refining large language models (LLMs) designed to process diverse data types, including imagery, graphs, and JSON files. Tasks included assessing model performance, annotating multimodal data, and providing actionable feedback to improve contextual understanding and output accuracy. Focused on ensuring seamless integration across data modalities and enhancing model usability in practical applications.

2024 - 2024

Education

Work History