Alberto Ulloa

Key Skills

Software

Appen

CrowdSource

Lionbridge

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Object Detection

Freelancer Overview

I possess comprehensive experience in data labeling and AI training data, contributing to the development and refinement of artificial intelligence technologies. My expertise spans various data types, with a strong focus on speech, text, and image annotation and evaluation. Through projects I've actively participated in speech recording and annotation to advance speech recognition and synthesis. My work solidified my skills in transcription, translation annotation, and audio quality assessment. Beyond audio, I've specialized in text and content evaluation for crucial AI applications. This includes evaluating the relevance and accuracy of social media advertisements, identifying misrepresented information like false product pricing, and critically assessing search engine results. My involvement in several tasks demonstrates a foundational understanding and practical application in Large Language Model (LLM) data processing. Additionally, my work involved category validation and teaching AI common sense understanding, showcasing an ability to contribute to more complex data annotation tasks. My diverse project portfolio highlights a keen eye for detail, strong adherence to guidelines, and a consistent contribution to data quality, directly impacting the performance and reliability of AI systems.

Labeling Experience

Audio File Speech Annotation & Rating

AppenAudioEvaluation Rating

This project involved listening to audio files and performing detailed speech annotation and rating according to provided guidelines. The objective was to precisely label speech segments, identify specific linguistic features, or assess audio quality for various AI applications.

This project involved listening to audio files and performing detailed speech annotation and rating according to provided guidelines. The objective was to precisely label speech segments, identify specific linguistic features, or assess audio quality for various AI applications.

2024 - 2024

Product Pricing Accuracy Verification

AppenTextEvaluation Rating

The core task of this project was to review pricing information found within the title or description of product listings and compare it against the official listed price. The goal was to identify and flag any misrepresented or false pricing to ensure data integrity in e-commerce.

The core task of this project was to review pricing information found within the title or description of product listings and compare it against the official listed price. The goal was to identify and flag any misrepresented or false pricing to ensure data integrity in e-commerce.

2024 - 2024

Audio Quality Rating and Annotation

AppenAudioEvaluation Rating

This project involved listening to audio files and rating their quality based on provided guidelines and conventions. The objective was to assess various audio attributes to ensure high fidelity and usability for AI applications.

This project involved listening to audio files and rating their quality based on provided guidelines and conventions. The objective was to assess various audio attributes to ensure high fidelity and usability for AI applications.

2024 - 2024

Text-to-Speech Transcription & Translation Improvement

AppenTextTranslation Localization

The objective of this project was to enhance translation technology by annotating text-to-speech transcriptions and/or performing direct translations. It involved ensuring accuracy between spoken audio, its written transcription, and its translated equivalent.

The objective of this project was to enhance translation technology by annotating text-to-speech transcriptions and/or performing direct translations. It involved ensuring accuracy between spoken audio, its written transcription, and its translated equivalent.

2024 - 2024

LLM Project Pre-qualification Modules

AppenTextEvaluation Rating

This project involved accessing and completing short learning modules and quizzes designed to pre-qualify participants for various Large Language Model (LLM) projects. It focused on assessing understanding of LLM concepts and data annotation guidelines.

This project involved accessing and completing short learning modules and quizzes designed to pre-qualify participants for various Large Language Model (LLM) projects. It focused on assessing understanding of LLM concepts and data annotation guidelines.

2024 - 2024

Show more

Education

Work History