Brian Zarnitz

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Computer Science and Software Engineering

Artificial Intelligence and Machine Learning

Mathematics and Statistics

Top Data Types

Text

Top Task Types

Computer Programming Coding

Freelancer Overview

I am a Computer Science student at Binghamton University with hands-on experience in AI training, data annotation, and full-stack AI product development. I have completed extensive AI data annotation work through DataAnnotation Tech, as well as my other AI coding job through Handshake. I evaluated model-generated code and quantitative reasoning outputs. My technical background spans Python, JavaScript/TypeScript, Java, C, and I have deep practical experience with LLMs, prompt engineering, and agentic AI workflows through my own shipped products. What sets me apart is that I don't just annotate AI outputs, I build AI systems myself. I've launched multiple live AI products with real users, giving me an unusually practical understanding of where models fail, how to write precise evaluation criteria, and how to produce high-quality reference solutions that actually improve model behavior. Data Labeling/AI Training Experience: DataAnnotation Tech - AI Data Annotator Binghamton University Handshake - AI Coding Role Saige (saigestudy.com) - Full-Stack AI tutoring App Nexus / OpenClaw Alternative - Agentic AI platform Rustlabs AI (rustlabs.ai/cli) - AI CLI Agent terminal

Labeling Experience

Handshake AI

Computer Code ProgrammingComputer Programming Coding

Looking at different Github repos and deciding whether it is a correctly formatted/good repo. Helped make AI better.

Looking at different Github repos and deciding whether it is a correctly formatted/good repo. Helped make AI better.

2025 - Present

AI Data Annotator (Coding & Model Evaluation)

Data Annotation Tech

As an AI Data Annotator, I evaluated AI-generated coding solutions to computer science problems. I tested and read the code to determine the correctness of the model's output. My work directly contributed to improving the accuracy and reliability of coding-capable AI models. • Reviewed and tested computer code generated by AI for correctness. • Wrote, edited, and corrected code solutions for training AI models. • Created and curated prompts and coding challenges for model fine-tuning. • Collaborated remotely within a structured annotation workflow.

As an AI Data Annotator, I evaluated AI-generated coding solutions to computer science problems. I tested and read the code to determine the correctness of the model's output. My work directly contributed to improving the accuracy and reliability of coding-capable AI models. • Reviewed and tested computer code generated by AI for correctness. • Wrote, edited, and corrected code solutions for training AI models. • Created and curated prompts and coding challenges for model fine-tuning. • Collaborated remotely within a structured annotation workflow.

2023 - 2025

Education

Work History