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Bruno De Oliveira

@brunodeoliveira

Message

AI and Data Specialist focused on data annotation, evaluation, and pipeline automation.

Brazil

Message

What I'm looking for

I seek remote roles where I can apply data annotation and AI evaluation skills, contribute to model alignment and quality, and work within collaborative, ethical, growth-oriented teams.

I am an AI and Data Specialist with extensive experience in data annotation, AI evaluation, and content moderation to improve language and computer vision models.

I build scalable data pipelines and automate annotation workflows to increase efficiency while maintaining rigorous quality assurance and accuracy across diverse datasets.

My background includes linguistic analysis, sentiment tagging, translation quality evaluation, and providing human feedback to enhance model alignment, ethical performance, and contextual understanding.

I collaborate effectively with international, multilingual teams, produce clear technical documentation, and prioritize confidentiality and reliability in AI data projects.

Experience

Work history, roles, and key accomplishments

Data & AI Specialist

Feather

Led data labeling, curation, and QA for NLP and computer vision model training, built scalable annotation pipelines and automation that improved annotation efficiency and dataset quality.

Data Labeling & QA NLP Computer Vision Linguistic Analysis Automation Technical Documentation

Content Quality Rater

Welocalize / OneForma

Reviewed user- and AI-generated content for compliance with community and quality standards, classified content by topic and reliability, and supported moderation to filter inappropriate or biased material.

Content Moderation Classification Factual Reliability Assessment Multilingual Review

AI Data Evaluator

Appen / Telus

Evaluated ads, search results, and AI-generated content against complex guidelines, providing feedback that improved LLM understanding of context, tone, and intent to meet daily quality metrics.

Content Evaluation Quality Assurance Context