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Ueliton Alves

Ueliton Alves

AI Data Labeling and Evaluation Specialist for Multilingual Projects

Brazil flagIguatu, Brazil
$12.00/hrIntermediateClickworkerLabelboxOneforma

Key Skills

Software

ClickworkerClickworker
LabelboxLabelbox
OneFormaOneForma
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Audio Recording
Data Collection
Evaluation Rating
Prompt Response Writing SFT
Translation Localization

Freelancer Overview

I am an experienced AI data labeling and evaluation specialist with a strong background in text, audio, and translation quality assessment. I have worked on multiple international projects, including LLM evaluation, voice-over synchronization, and toxicity detection tasks. My experience includes work with companies such as RWS, Centific, and Outlier, where I contributed to improving AI model accuracy through consistent annotation, linguistic analysis, and quality assurance. I bring expertise in multilingual data evaluation (English, Portuguese, and Spanish), as well as a solid understanding of religious and educational content, which allows me to deliver precise and context-aware annotations. I am detail-oriented, reliable, and committed to providing high-quality training data that enhances AI performance and user experience.

IntermediateEnglishSpanish

Labeling Experience

OneForma

LLM Response Evaluation and Text Quality Labeling

OneformaTextClassificationQuestion Answering
In this project, I evaluated AI-generated text responses to measure accuracy, coherence, tone, and factual quality. Tasks included classifying responses according to quality guidelines, comparing model outputs, and identifying errors or biases in generated content. I worked with multilingual data (English, Portuguese, Spanish) and applied guideline-based criteria to ensure consistent and high-quality annotations. The project contributed directly to improving the performance of LLMs used in conversational AI systems.

In this project, I evaluated AI-generated text responses to measure accuracy, coherence, tone, and factual quality. Tasks included classifying responses according to quality guidelines, comparing model outputs, and identifying errors or biases in generated content. I worked with multilingual data (English, Portuguese, Spanish) and applied guideline-based criteria to ensure consistent and high-quality annotations. The project contributed directly to improving the performance of LLMs used in conversational AI systems.

2024

Education

E

EEMB Joaquim Josue da Costa

High School Diploma, General Education

High School Diploma
2019 - 2021

Work History

N

N/A

Freelance Proofreader & Content Reviewer

Remote
2024 - Present
U

Uelitonvendas

Digital Entrepreneur & Content Creator

Remote
2024 - Present