Robin Alexandra Perez

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Top Label Types

Data Collection

Audio Recording

Freelancer Overview

I am a detail-oriented professional with extensive experience in data quality assurance, data validation, and verification, particularly within the healthcare and administrative domains. My background includes performing QA reviews, validating credentials, and managing sensitive information in compliance with regulatory standards such as GDPR and HIPAA. I have worked with global teams to improve data processes, provided actionable feedback to ensure data consistency, and supported the training of new team members. Skilled in using Excel, Google Sheets, Google Workspace, and CRM tools like Salesforce, I excel at streamlining workflows, maintaining accurate digital records, and supporting high-volume data operations. My experience spans medical data, customer support, and operational reporting, making me well-equipped to contribute to data labeling and AI training data projects that require precision, confidentiality, and a strong understanding of complex data environments.

Labeling Experience

ATC Transcriber for AI Training

LabelboxAudioData CollectionAudio Recording

Worked as an ATC Transcriber on Labelbox, where I transcribed audio data, corrected machine-generated text, and ensured high-quality annotations for AI training. Responsibilities included reviewing audio clips for accuracy, tagging linguistic elements, applying project-specific guidelines, and maintaining consistent labeling standards. Delivered precise, clean datasets that improved model performance for speech recognition and natural language processing (NLP) systems

Worked as an ATC Transcriber on Labelbox, where I transcribed audio data, corrected machine-generated text, and ensured high-quality annotations for AI training. Responsibilities included reviewing audio clips for accuracy, tagging linguistic elements, applying project-specific guidelines, and maintaining consistent labeling standards. Delivered precise, clean datasets that improved model performance for speech recognition and natural language processing (NLP) systems

2025

Education

Work History