Peter Pena

Key Skills

Software

Appen

Labelbox

OneForma

Remotasks

Roboflow

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Classification

Computer Programming Coding

Evaluation Rating

Point Key Point

Freelancer Overview

Studying at Michigan State University in Computer Science and Engineering, I am an experienced AI Training Data Specialist with a strong background in LLM testing, data annotation, and AI model tuning in diverse applications including computer vision, human-computer interaction (HCI), and cybersecurity. As a Research Assistant, I have meticulously annotated and labeled high-resolution images of pigs in a controlled laboratory setting to maintain dataset quality for AI-driven agricultural and biomedical research. In addition, my ability to review and edit AI-generated text and code has assisted in the development of large language models through the provision of structured testing and feedback. I previously worked at Outlier AI as a remote worker, where my tasks involved creating computer science questions and editing AI-generated code to help improve model accuracy. My technical background spans Python, AI model testing, and annotation tools, allowing me to bridge the gap between AI performance and data quality. With a passion for streamlining AI systems and a strong interest in data integrity and annotation accuracy, I am dedicated to pushing the boundaries of AI-driven solutions.

Labeling Experience

Software Engineer

LabelboxComputer Code ProgrammingComputer Programming Coding

I developed & refined responses to fine-tune LLMs in programming, identifying strengths & weaknesses across coding domains for companies including Google, as well as ensured functionality through local & VM testing. I also directly engineered coding tasks in Python, JS, & Java involving AI methodology analysis & algorithmic computation.

I developed & refined responses to fine-tune LLMs in programming, identifying strengths & weaknesses across coding domains for companies including Google, as well as ensured functionality through local & VM testing. I also directly engineered coding tasks in Python, JS, & Java involving AI methodology analysis & algorithmic computation.

2024

Research Assistant

RoboflowImagePoint Key Point

I annotated and labeled low and high-resolution pig images in a controlled laboratory setting to enhance AI model training for agricultural and biomedical research. I also ensured dataset quality and consistency by following strict annotation guidelines, refining bounding boxes, and validating model performance with iterative feedback.

I annotated and labeled low and high-resolution pig images in a controlled laboratory setting to enhance AI model training for agricultural and biomedical research. I also ensured dataset quality and consistency by following strict annotation guidelines, refining bounding boxes, and validating model performance with iterative feedback.

2023

Remote Coding Expertise for AI Training

Scale AIComputer Code ProgrammingEvaluation Rating

I contributed to AI model enhancement by providing coding expertise in a remote capacity, collaborating with cross-functional teams to improve algorithm accuracy and performance.​

I contributed to AI model enhancement by providing coding expertise in a remote capacity, collaborating with cross-functional teams to improve algorithm accuracy and performance.​

2022 - 2023

Education

Work History