Geoffrey Mcconnell

Key Skills

Software

OpenCV AI Kit (OAK)

AWS SageMaker

Data Annotation Tech

Label Studio

Remotasks

Snorkel AI

Internal/Proprietary Tooling

Top Subject Matter

Medicine – Clinical Data Annotation & AI Quality Analysis

E-commerce – Product Categorization & Customer Support Data Annotation

Finance – Risk Analysis & Fraud Detection Data Work

Top Data Types

Text

Medical Dicom

Audio

Top Task Types

Classification

Function Calling

Computer Programming/Coding

Transcription

Red Teaming

Text Generation

Data Collection

Freelancer Overview

I am a highly analytical AI Quality Analyst with extensive experience in data labeling, annotation, and creating high-quality training data for cutting-edge AI models. My work involves writing, editing, and refining prompts and responses across diverse domains, critically evaluating AI-generated content for accuracy, tone, and safety, and identifying model weaknesses through adversarial testing. I am skilled in applying complex project guidelines, fact-checking, and conducting bias and edge-case analysis to ensure fairness and robustness in AI systems. With a strong background in Python (pandas, NumPy, scikit-learn), I have developed and optimized data pipelines, performed comprehensive model evaluations, and integrated ML models into backend systems. My attention to detail, research skills, and commitment to quality enable me to deliver reliable, insightful data annotation and model validation for AI development projects.

Labeling Experience

Education

Work History