Eduardo Zenato Zatta

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

OneForma

Remotasks

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Freelancer Overview

I have over six years of experience focused on LLMs, AI system evaluation, and data labeling, having worked for recognized companies in the field, such as Outlier, Welocalize, and Appen. My work has consisted of sophisticated textual data classification, model-generated response validation, and thorough auditing of results to improve the accuracy and alignment of generative artificial intelligence. I am proficient in developing and implementing detailed annotation instruction sets, with the central goal of continuously improving model efficiency through reliable inputs and thorough analysis.

Labeling Experience

LLM and response evaluation

Scale AITextText GenerationText Summarization

My experience evaluating LLMs involves analyzing the answers generated by artificial intelligence, verifying that they are correct, coherent, and follow established rules. I also compare different versions of the answers to rank them by quality, using both numerical data and practical analysis to identify areas for improvement.

My experience evaluating LLMs involves analyzing the answers generated by artificial intelligence, verifying that they are correct, coherent, and follow established rules. I also compare different versions of the answers to rank them by quality, using both numerical data and practical analysis to identify areas for improvement.

2019

Ad classification evaluation

AppenTextClassification

My tasks included text classification, model response evaluation, and multi-stage review to ensure data accuracy. I excelled at translating technical requirements into practical guidelines, working directly with ML teams to refine datasets and improve model performance. My experience ranges from chatbot evaluation to semantic segmentation, always focusing on training data quality to optimize AI results.

My tasks included text classification, model response evaluation, and multi-stage review to ensure data accuracy. I excelled at translating technical requirements into practical guidelines, working directly with ML teams to refine datasets and improve model performance. My experience ranges from chatbot evaluation to semantic segmentation, always focusing on training data quality to optimize AI results.

2019

Education

Work History