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Bruno Vellozo

Bruno Vellozo

Trilingual and Data Analyst

France flagMartigné-sur-Mayenne, France
$12.00/hrIntermediateCVATDataloopLabelbox

Key Skills

Software

CVATCVAT
DataloopDataloop
LabelboxLabelbox
Label StudioLabel Studio
OneFormaOneForma
SuperAnnotateSuperAnnotate
V7 LabsV7 Labs
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage

Top Task Types

Classification
Computer Programming Coding
Data Collection
Evaluation Rating
Mapping

Freelancer Overview

I have hands-on experience in AI training data projects through my role as a Data Analyst at TELUS International, where I participated in data evaluation and mapping tasks aimed at improving AI systems' accuracy and contextual understanding. My responsibilities included analyzing and labeling search engine data, rating relevance, and ensuring quality standards across large-scale datasets. I also worked for Volga Partners, on a UBER AI Project. It was freelance, task-based projects involving data interpretation and manipulation, ensuring accuracy and integrity of datasets. I provided translations and cultural context in Brazilian Portuguese and English to improve data relevance. I delivered actionable insights to optimize business processes and supported AI training through precise labeling and anomaly detection.

IntermediateFrenchEnglish

Labeling Experience

Language Data and Quality Reviewer

Internal Proprietary ToolingTextTranslation LocalizationComputer Programming Coding
The project involved supporting AI development and business intelligence by handling multilingual datasets in Brazilian Portuguese and English. Tasks included interpreting and manipulating large data batches, applying labeling techniques, translating content with cultural nuance, and ensuring quality through anomaly detection. Work was performed on a flexible, on-demand basis, with tasks assigned via multiple communication channels (WhatsApp, email, Slack). The goal was to improve data accuracy, relevance, and usability for AI training and business process optimization.

The project involved supporting AI development and business intelligence by handling multilingual datasets in Brazilian Portuguese and English. Tasks included interpreting and manipulating large data batches, applying labeling techniques, translating content with cultural nuance, and ensuring quality through anomaly detection. Work was performed on a flexible, on-demand basis, with tasks assigned via multiple communication channels (WhatsApp, email, Slack). The goal was to improve data accuracy, relevance, and usability for AI training and business process optimization.

2025

Search Engine Evaluation & Geolocation Mapping for AI Models

Internal Proprietary ToolingTextClassificationMapping
This project was focused on enhancing AI search engine models by evaluating and labeling user queries, content relevance, and geographic intent. Tasks involved classifying the relevance of text-based search results, performing geolocation mapping of physical and digital content, and rating search intent alignment with user location. I followed complex and evolving guidelines to ensure consistency and high-quality annotations across thousands of entries. The project demanded cultural and linguistic awareness to improve AI understanding of region-specific user behavior. I consistently met quality assurance targets (95%+ accuracy) and contributed to improving real-world AI outputs for better search and mapping precision.

This project was focused on enhancing AI search engine models by evaluating and labeling user queries, content relevance, and geographic intent. Tasks involved classifying the relevance of text-based search results, performing geolocation mapping of physical and digital content, and rating search intent alignment with user location. I followed complex and evolving guidelines to ensure consistency and high-quality annotations across thousands of entries. The project demanded cultural and linguistic awareness to improve AI understanding of region-specific user behavior. I consistently met quality assurance targets (95%+ accuracy) and contributed to improving real-world AI outputs for better search and mapping precision.

2025 - 2025

Education

U

UNESP

Bachelor's in Statistics, Statistics

Bachelor's in Statistics
2020 - 2024

Work History

V

Volga Partners

Language Data and Quality Reviewer

Remote
2025 - Present
T

TELUS DIGITAL

Data Analyst

remote
2025 - 2025