Jose Armando

Key Skills

Software

Data Annotation Tech

Labelbox

OneForma

Remotasks

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Audio Recording

Classification

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience working on AI training and evaluation tasks, with a strong focus on safety, quality, and reliability. I’ve reviewed AI-generated text and audio responses involving sensitive or high-risk topics, ensuring they follow strict safety guidelines and produce trustworthy, well-reasoned outputs. This work has required careful judgment, attention to detail, and consistency when applying policy and evaluation standards. I’ve also contributed to audio-based AI training projects, helping models improve their performance in structured conversations around specific topics while following clear instructions and constraints. In addition, my background in Computer Science allows me to review and assess AI-generated programming responses, checking for correctness, clarity, and practical usefulness. I’m comfortable working with detailed guidelines, learning new evaluation frameworks quickly, and delivering high-quality annotations that directly improve model performance.

Labeling Experience

Programming Response Evaluation & Code Review for AI Models

LabelboxComputer Code ProgrammingClassificationEvaluation Rating

Contributed to AI training projects focused on evaluating and improving AI-generated programming responses. Tasks included reviewing code outputs for correctness, logical structure, readability, and alignment with user requirements. The work covered common programming scenarios such as debugging, algorithmic problem solving, and code explanation. Annotations involved rating response quality, identifying errors or inefficiencies, and assessing whether the generated solutions followed best practices and were practically usable. A solid background in Computer Science supported accurate evaluations and consistent application of detailed guidelines across a wide range of coding tasks.

Contributed to AI training projects focused on evaluating and improving AI-generated programming responses. Tasks included reviewing code outputs for correctness, logical structure, readability, and alignment with user requirements. The work covered common programming scenarios such as debugging, algorithmic problem solving, and code explanation. Annotations involved rating response quality, identifying errors or inefficiencies, and assessing whether the generated solutions followed best practices and were practically usable. A solid background in Computer Science supported accurate evaluations and consistent application of detailed guidelines across a wide range of coding tasks.

2025

Conversational Audio Data Collection & Annotation for AI Training

LabelboxAudioData CollectionAudio Recording

Worked on AI training projects centered on conversational audio data, contributing to the improvement of speech and dialogue models. The role involved recording natural, topic-focused conversations following predefined prompts, constraints, and conversational goals. In addition to data collection, reviewed audio conversations for clarity, relevance, and adherence to project guidelines. Annotations included identifying conversational intent, emotional tone, and overall response quality. The work required consistency, clear communication, and close attention to instructions to ensure the collected data was suitable for large-scale model training.

Worked on AI training projects centered on conversational audio data, contributing to the improvement of speech and dialogue models. The role involved recording natural, topic-focused conversations following predefined prompts, constraints, and conversational goals. In addition to data collection, reviewed audio conversations for clarity, relevance, and adherence to project guidelines. Annotations included identifying conversational intent, emotional tone, and overall response quality. The work required consistency, clear communication, and close attention to instructions to ensure the collected data was suitable for large-scale model training.

2025 - 2025

AI Safety & Response Quality Evaluation for Text Models

OtherTextClassificationText Generation

Worked on AI training and evaluation projects focused on improving the safety, reliability, and overall quality of AI-generated text and audio responses. The core tasks involved reviewing model outputs related to sensitive or potentially harmful topics, ensuring strict compliance with safety policies, risk mitigation guidelines, and trust standards.

Worked on AI training and evaluation projects focused on improving the safety, reliability, and overall quality of AI-generated text and audio responses. The core tasks involved reviewing model outputs related to sensitive or potentially harmful topics, ensuring strict compliance with safety policies, risk mitigation guidelines, and trust standards.

2024 - 2025

Education

Work History