Antonio

Key Skills

Software

Labelbox

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Top Label Types

Transcription

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Freelancer Overview

I am a highly skilled software engineer with a strong background in software development, data analysis, and quality assurance, bringing hands-on experience in designing, implementing, and maintaining databases as well as testing and optimizing systems. My work as a QA tester and web developer has given me in-depth exposure to data annotation, bug reporting, and the creation of detailed test plans, often utilizing tools like Selenium, JMeter, and Jira to ensure the accuracy and quality of data-driven applications. I am adept at collaborating in agile teams and have experience working with a variety of programming languages including Python, Java, and .NET, which enables me to contribute effectively to AI training data projects. I am passionate about leveraging my technical and analytical skills to support high-quality data labeling processes and am committed to continuous learning and professional growth in the AI and data domains.

Labeling Experience

Labelling & Transcription

OtherAudioTranscription

The Cosmos Cricket Project focuses on audio labeling and transcription to improve voice assistant performance, specifically for Siri in Spanish. The role involves carefully listening to user interactions and accurately documenting spoken content, including wake-word activation, user requests, pauses, hesitations, and filled words. The objective of the project is to help enhance speech recognition accuracy, natural language understanding (NLU), and overall voice assistant responsiveness in Spanish-language interactions.

The Cosmos Cricket Project focuses on audio labeling and transcription to improve voice assistant performance, specifically for Siri in Spanish. The role involves carefully listening to user interactions and accurately documenting spoken content, including wake-word activation, user requests, pauses, hesitations, and filled words. The objective of the project is to help enhance speech recognition accuracy, natural language understanding (NLU), and overall voice assistant responsiveness in Spanish-language interactions.

2025

Code Human Preference Claude Code

LabelboxComputer Code ProgrammingComputer Programming CodingData Collection

This project focuses on evaluating and ranking AI-generated code responses (Claude Code) based on human preference and technical accuracy. The work involves testing prompts built around real-world GitHub projects and assessing the quality of the model’s code outputs. The main objective is to compare multiple AI-generated solutions, validate their correctness, functionality, efficiency, and alignment with the project requirements, and determine which response provides the best overall implementation.

This project focuses on evaluating and ranking AI-generated code responses (Claude Code) based on human preference and technical accuracy. The work involves testing prompts built around real-world GitHub projects and assessing the quality of the model’s code outputs. The main objective is to compare multiple AI-generated solutions, validate their correctness, functionality, efficiency, and alignment with the project requirements, and determine which response provides the best overall implementation.

2025

ATC

LabelboxAudioTranscription

This project involves the transcription of Air Traffic Control (ATC) communications to support AI training and aviation-related technologies. The work consists of accurately converting pilot–controller radio communications into written text while maintaining standard ICAO phraseology and aviation terminology. The role requires careful listening to audio recordings that may include background noise, radio interference, different accents, and fast-paced exchanges. Special attention is given to correctly identifying call signs, flight levels, headings, altitudes, frequencies, clearances, and other operational instructions. Responsibilities include: Transcribing ATC audio recordings with high accuracy. Identifying and correctly formatting aviation terminology and call signs. Ensuring compliance with transcription guidelines and annotation standards. Reviewing and proofreading transcriptions for quality control. Handling noisy or low-quality audio while

This project involves the transcription of Air Traffic Control (ATC) communications to support AI training and aviation-related technologies. The work consists of accurately converting pilot–controller radio communications into written text while maintaining standard ICAO phraseology and aviation terminology. The role requires careful listening to audio recordings that may include background noise, radio interference, different accents, and fast-paced exchanges. Special attention is given to correctly identifying call signs, flight levels, headings, altitudes, frequencies, clearances, and other operational instructions. Responsibilities include: Transcribing ATC audio recordings with high accuracy. Identifying and correctly formatting aviation terminology and call signs. Ensuring compliance with transcription guidelines and annotation standards. Reviewing and proofreading transcriptions for quality control. Handling noisy or low-quality audio while

2025

Education

Work History