Leviton Carvalho

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Mindrift

SuperAnnotate

Scale AI

Top Subject Matter

LLM evaluation in English

LLM evaluation in Portuguese

Content Moderation

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Text Generation

Text Summarization

Freelancer Overview

With 10 months of experience in data labeling for large language models (LLMs), I've quickly developed a strong foundation in annotating text data and ensuring high-quality training datasets. My key skills include text classification, entity recognition, sentiment analysis, and maintaining data consistency. I've been involved in projects that required meticulous attention to detail and a deep understanding of linguistic nuances to accurately label data for natural language processing (NLP) tasks. One notable project involved annotating customer feedback for sentiment analysis in the finance sector, where I labeled text data to help improve customer support systems. This experience sharpened my ability to work with complex datasets and understand the context of language. My proficiency with labeling tools like Prodi.gy and Amazon SageMaker Ground Truth, combined with my quick learning and adaptability, has allowed me to contribute effectively to creating high-quality training data for advanced LLMs.

Labeling Experience

AI EVALUATOR

Scale AITextText SummarizationRLHF

At Scale AI, I was responsible for the qualitative assessment and enhancement of AI models across various projects. My role involved meticulously evaluating AI outputs to ensure accuracy, relevance, and performance while identifying areas for improvement. I collaborated with data scientists and engineers to refine models by providing actionable feedback, optimizing training datasets, and implementing iterative improvements. By leveraging both technical and analytical skills, I contributed to the development of more robust and efficient AI systems.

At Scale AI, I was responsible for the qualitative assessment and enhancement of AI models across various projects. My role involved meticulously evaluating AI outputs to ensure accuracy, relevance, and performance while identifying areas for improvement. I collaborated with data scientists and engineers to refine models by providing actionable feedback, optimizing training datasets, and implementing iterative improvements. By leveraging both technical and analytical skills, I contributed to the development of more robust and efficient AI systems.

2024

Education

Work History