Bralessa Bragatto

Key Skills

Software

Other

Appen

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Medical Dicom

Text

Top Label Types

Classification

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

RLHF

Segmentation

Transcription

Freelancer Overview

I am an experienced AI trainer and data annotator, skilled in supporting large-scale AI systems through precise data labeling, multimodal and LLM training, and rigorous quality assurance. My background includes evaluating model outputs, performing sentiment and intent analysis, fact-checking, and detecting misinformation in both Portuguese and English. I have contributed to projects in diverse domains such as healthcare, social media safety, and multilingual content evaluation, applying strict annotation guidelines and ensuring high-quality, reliable datasets. My analytical thinking, attention to detail, and adaptability enable me to deliver consistent, high-quality annotations using tools like annotation platforms, LLM evaluation tools, and Power BI. I am dedicated to improving model accuracy and safety while collaborating effectively with both technical and non-technical teams.

Labeling Experience

AI Trainer – LLM Data Annotator Health Content

OtherTextClassification

As an AI Trainer and LLM Data Annotator focused on Health Content for Meridial, I reviewed and validated clinical content, scenarios, and annotations in AI healthcare workflows. I contributed technical expertise in nursing and patient care practices to improve model outputs and provided guidance on clinical guidelines and safety risks. My work supported the development of realistic medical cases and question sets for AI training and evaluation. • Validated clinical annotations and medical scenarios for AI systems • Offered insights on patient safety and care best practices • Developed and reviewed medical question datasets for AI training • Communicated clinical analyses to both technical and non-clinical teams

As an AI Trainer and LLM Data Annotator focused on Health Content for Meridial, I reviewed and validated clinical content, scenarios, and annotations in AI healthcare workflows. I contributed technical expertise in nursing and patient care practices to improve model outputs and provided guidance on clinical guidelines and safety risks. My work supported the development of realistic medical cases and question sets for AI training and evaluation. • Validated clinical annotations and medical scenarios for AI systems • Offered insights on patient safety and care best practices • Developed and reviewed medical question datasets for AI training • Communicated clinical analyses to both technical and non-clinical teams

2025

AI Trainer – LLM Data Annotator

OtherTextEvaluation Rating

As an AI Trainer and LLM Data Annotator for Invisible Technologies, I annotated and classified multilingual text data to support large language model training and evaluation. My work included evaluating AI-generated responses, performing sentiment analysis, RLHF, and intent recognition, and conducting content risk assessment across multiple use cases. I rigorously applied complex annotation guidelines to maintain consistency and quality in high-volume workflows. • Annotated prompts, dialogues, and model interactions in Portuguese and English • Conducted fact checking and semantic reviews to reduce AI hallucinations • Rewrote and validated model outputs for clarity and performance • Supported RLHF and risk assessment tasks for LLM development

As an AI Trainer and LLM Data Annotator for Invisible Technologies, I annotated and classified multilingual text data to support large language model training and evaluation. My work included evaluating AI-generated responses, performing sentiment analysis, RLHF, and intent recognition, and conducting content risk assessment across multiple use cases. I rigorously applied complex annotation guidelines to maintain consistency and quality in high-volume workflows. • Annotated prompts, dialogues, and model interactions in Portuguese and English • Conducted fact checking and semantic reviews to reduce AI hallucinations • Rewrote and validated model outputs for clarity and performance • Supported RLHF and risk assessment tasks for LLM development

2025

Ads Quality Rater / Search Evaluator

OtherTextEvaluation Rating

As an Ads Quality Rater and Search Evaluator for Welo Data, I rated advertisements, webpages, and search results for relevance, quality, and user intent. I classified diverse online content using specific evaluation frameworks to ensure accuracy and consistency. My responsibilities included high-volume evaluation tasks in dynamic project environments. • Applied project-specific guidelines for content evaluation • Ensured consistent labeling and rating across data batches • Focused on relevance and user intent metrics • Supported quality assurance for search and ad datasets

As an Ads Quality Rater and Search Evaluator for Welo Data, I rated advertisements, webpages, and search results for relevance, quality, and user intent. I classified diverse online content using specific evaluation frameworks to ensure accuracy and consistency. My responsibilities included high-volume evaluation tasks in dynamic project environments. • Applied project-specific guidelines for content evaluation • Ensured consistent labeling and rating across data batches • Focused on relevance and user intent metrics • Supported quality assurance for search and ad datasets

2023

Content Evaluator – Misinformation & Safety

AppenTextClassification

As a Content Evaluator for CrowdGen (Appen Connect), I analyzed social media content to detect misinformation, misleading claims, and assess safety risks. I applied detailed labeling taxonomies and verified factual claims while adhering to strict content policies. My work ensured accurate, responsible classifications and helped maintain dataset trustworthiness. • Evaluated online content in Portuguese and English • Labeled and flagged high-risk and ambiguous cases • Applied misinformation and risk assessment criteria • Supported reliable content moderation datasets

As a Content Evaluator for CrowdGen (Appen Connect), I analyzed social media content to detect misinformation, misleading claims, and assess safety risks. I applied detailed labeling taxonomies and verified factual claims while adhering to strict content policies. My work ensured accurate, responsible classifications and helped maintain dataset trustworthiness. • Evaluated online content in Portuguese and English • Labeled and flagged high-risk and ambiguous cases • Applied misinformation and risk assessment criteria • Supported reliable content moderation datasets

2024 - 2024

Online Data Evaluator (Multilingual)

TelusTextClassification

As a Multilingual Online Data Evaluator for Telus International AI Data Solutions, I reviewed and annotated online content as well as validated AI-generated outputs for linguistic and task-oriented accuracy. I supported multilingual AI projects with a focus on guideline adherence and precise annotation. The work was conducted in Portuguese and English across varied online datasets. • Evaluated and annotated text data for AI system development • Ensured quality and relevance of outputs in multiple languages • Applied strict annotation and validation protocols • Contributed to multilingual training datasets for AI models

As a Multilingual Online Data Evaluator for Telus International AI Data Solutions, I reviewed and annotated online content as well as validated AI-generated outputs for linguistic and task-oriented accuracy. I supported multilingual AI projects with a focus on guideline adherence and precise annotation. The work was conducted in Portuguese and English across varied online datasets. • Evaluated and annotated text data for AI system development • Ensured quality and relevance of outputs in multiple languages • Applied strict annotation and validation protocols • Contributed to multilingual training datasets for AI models

2023 - 2024

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Education

Work History