Patricia Zotorglo

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Text

Top Label Types

Bounding Box

Classification

Action Recognition

Audio Recording

Emotion Recognition

Freelancer Overview

I am a detail-oriented Data Labeling Specialist with over four years of experience processing and annotating high-volume datasets with consistent 100% accuracy and strong data integrity standards. I have verified, categorized, and documented over 200 records daily using CRM systems and digital annotation tools, strictly adhering to structured guidelines and quality assurance protocols. My work has involved identifying inconsistencies, resolving data discrepancies, and maintaining confidential documentation to ensure audit readiness and compliance. I bring strong analytical and organizational skills, with proficiency in Microsoft Excel, Google Sheets, and various online annotation platforms. Experienced in remote work environments, I am comfortable working independently while meeting productivity targets and maintaining precision. I am particularly passionate about supporting AI training data pipelines in areas such as text classification, categorization, and structured data processing, ensuring reliable and high-quality datasets for model development.

Labeling Experience

AI Evaluation/Scenario Writing

Scale AITextEntity Ner ClassificationText Generation

Contributed to AI training initiatives involving both image annotation and text-based evaluation tasks. For computer vision datasets, I performed bounding box annotation on images containing multiple objects, ensuring tight box placement, accurate class labeling, and compliance with YOLO formatting requirements. I followed structured guidelines to maintain consistency and conducted quality checks prior to dataset export. In addition, I supported natural language processing projects by labeling and classifying text data for sentiment and intent analysis. I evaluated AI-generated responses using structured rubrics, assessing tone, relevance, logical consistency, and policy adherence. I identified inconsistencies, flagged ambiguous cases, and ensured alignment with defined quality standards to support reliable model training and performance improvement.

Contributed to AI training initiatives involving both image annotation and text-based evaluation tasks. For computer vision datasets, I performed bounding box annotation on images containing multiple objects, ensuring tight box placement, accurate class labeling, and compliance with YOLO formatting requirements. I followed structured guidelines to maintain consistency and conducted quality checks prior to dataset export. In addition, I supported natural language processing projects by labeling and classifying text data for sentiment and intent analysis. I evaluated AI-generated responses using structured rubrics, assessing tone, relevance, logical consistency, and policy adherence. I identified inconsistencies, flagged ambiguous cases, and ensured alignment with defined quality standards to support reliable model training and performance improvement.

2025 - 2025

Data verification and Quality review specialist

Scale AIDocumentBounding BoxClassification

I worked on structured data verification and quality review tasks, where I classified records, validated information accuracy, and ensured alignment with defined annotation guidelines. My role involved reviewing high-volume datasets, identifying discrepancies, and flagging inconsistencies to maintain data integrity. I consistently met daily productivity targets while maintaining strong attention to detail and confidentiality standards. This experience strengthened my analytical skills, accuracy, and ability to work independently within quality-controlled remote environments.

I worked on structured data verification and quality review tasks, where I classified records, validated information accuracy, and ensured alignment with defined annotation guidelines. My role involved reviewing high-volume datasets, identifying discrepancies, and flagging inconsistencies to maintain data integrity. I consistently met daily productivity targets while maintaining strong attention to detail and confidentiality standards. This experience strengthened my analytical skills, accuracy, and ability to work independently within quality-controlled remote environments.

2024 - 2025

Text Data Annotation & Classification (Freelance / Independent Project)

Scale AITextClassificationEmotion Recognition

I worked on text data annotation projects focused on sentiment analysis and intent classification. My responsibilities included labeling and categorizing customer messages according to predefined guidelines, identifying tone (positive, negative, neutral), and tagging content based on topic and urgency. I ensured consistency and accuracy by carefully reviewing each dataset, correcting labeling inconsistencies, and adhering strictly to project instructions. This experience strengthened my attention to detail, pattern recognition, and ability to maintain high-quality standards while working independently in a remote environment.

I worked on text data annotation projects focused on sentiment analysis and intent classification. My responsibilities included labeling and categorizing customer messages according to predefined guidelines, identifying tone (positive, negative, neutral), and tagging content based on topic and urgency. I ensured consistency and accuracy by carefully reviewing each dataset, correcting labeling inconsistencies, and adhering strictly to project instructions. This experience strengthened my attention to detail, pattern recognition, and ability to maintain high-quality standards while working independently in a remote environment.

2021 - 2023

Education

Work History