Warner C.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Physical Chemistry/AI Evaluation

Chemistry Publications/AI Model Training

Top Data Types

Computer Code Programming

Document

Image

Text

Video

Top Task Types

Computer Programming/Coding

Prompt + Response Writing (SFT)

Relationship

Text Generation

Freelancer Overview

A computational chemist with doctoral-level research done at the University of Pennsylvania in Chemistry with expertise in quantum-mechanical calculations, molecular dynamics simulations, and AI model training. As I was involved in various biophysical research projects involving drug discovery and computational chemistry, I created automated Python and Linux-based workflows within high-performance computing (HPC) clusters for protein-ligand binding studies, where I am currently wanting to apply my computational chemistry, physical chemistry, and mathematics background to develop challenging problems to improve state-of-the-art AI models.

Labeling Experience

Handshake AI Fellow

TextPrompt + Response Writing (SFT)

I created Physical Chemistry graduate-level problems to intentionally challenge advanced AI language models. I then devised detailed solutions, weighted rubrics, and hints aimed at helping these models learn from their reasoning errors. My work directly supported the AI models’ ability to solve complex, multi-step science questions. • Developed training prompts and rubrics tailored for AI reasoning evaluation. • Evaluated AI model responses for correctness and instruction-following. • Designed adversarial questions targeting specific weaknesses in AI reasoning. • Coordinated with AI research teams to optimize training setup.

2026 - Present

Chemistry AI Tutor

Data Annotation TechDocumentPrompt + Response Writing (SFT)Text Generation

The project focused on developing challenging system/user prompts to be able train AI models to be able to parse, interpret datasets/figures, and be able to apply theoretical quantum mechanical derivations from provided documents towards cases that challenge AI model understanding of the document. From this, I was able to guide and improve model understanding for various topics and research problems typically expected in higher education within STEM.

2025 - 2025

Education

Work History