Alba Garza

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Classification

Computer Programming Coding

Text Generation

Translation Localization

Freelancer Overview

As a software engineer with over three years of experience, I’ve developed strong technical and analytical skills that I now apply to the field of AI model training. At Outlier, I’ve worked directly on training AI models by evaluating and labeling code using detailed rubrics. This experience has strengthened my ability to assess code quality, logic, and structure while ensuring consistency and clarity in feedback—skills that are critical in creating high-quality AI training data. My background in full-stack development, especially in JavaScript, TypeScript, and React, allows me to understand the context of code tasks at a deeper level. I bring both technical expertise and attention to detail to every project, making me well-suited for tasks that require thoughtful judgment, precision, and a strong understanding of programming concepts.

Labeling Experience

Software Engineer Coding Expert

Scale AIComputer Code ProgrammingComputer Programming Coding

At Outlier, I contributed to the development of high-quality AI models by evaluating code responses against detailed rubrics. This involved analyzing the correctness, efficiency, readability, and overall structure of code written in languages such as JavaScript, TypeScript, Python, React and Plotly. My role required applying consistent judgment, identifying subtle bugs or logic issues, and providing clear, rubric-based assessments to help guide model improvement. I leveraged my background as a software engineer to interpret complex programming tasks, ensuring the training data was both technically accurate and aligned with human expectations. This work directly supported the refinement of AI systems designed to understand and generate code more effectively.In addition to code evaluation, I also contributed to image classification projects where I labeled and categorized visual data to support computer vision model training. My software engineering background allowed me to understand ho

At Outlier, I contributed to the development of high-quality AI models by evaluating code responses against detailed rubrics. This involved analyzing the correctness, efficiency, readability, and overall structure of code written in languages such as JavaScript, TypeScript, Python, React and Plotly. My role required applying consistent judgment, identifying subtle bugs or logic issues, and providing clear, rubric-based assessments to help guide model improvement. I leveraged my background as a software engineer to interpret complex programming tasks, ensuring the training data was both technically accurate and aligned with human expectations. This work directly supported the refinement of AI systems designed to understand and generate code more effectively.In addition to code evaluation, I also contributed to image classification projects where I labeled and categorized visual data to support computer vision model training. My software engineering background allowed me to understand ho

2024

Education

Work History