George Baldry

Key Skills

Software

Data Annotation Tech

Top Subject Matter

LLM Response Evaluation

AI Output Quality Assessment

Data Validation

Top Data Types

Text

Top Task Types

RLHF

Text Generation

Text Summarization

Freelancer Overview

I have 6 months of experience in AI Training at DataAnnotation Tech, where I evaluated AI-generated responses for accuracy, coherence, and overall quality. I have worked with images and text, and have experience with different labelling types such as RLHF, text summarisation, and text generation. A project which sets my apart is an independent algo trading project I have been working on for a few years. I have extensive experience with advanced LLMs which I used to code a working algo trading strategy, where I acquired over $50,000 worth of allocated capital in multiple propietary trading firms. I am also currently studying Medical Biosciences at Imperial College London, a very academically challenging course, which gives me domain depth and analytical rigour which I can use in many aspects of working with AI models.

Labeling Experience

AI Trainer & Data Annotator

Data Annotation TechTextRLHF

As an AI Trainer & Data Annotator at DataAnnotation.tech, I evaluated large language model outputs for accuracy, quality, and coherence. I provided structured human feedback to improve LLM performance. I demonstrated meticulous attention to data validation and platform-based annotation standards. • Completed Core qualification assessment for LLM evaluation tasks • Assessed factual accuracy, logical coherence, and linguistic quality of AI-generated responses • Produced structured and thorough human feedback for AI model improvement • Maintained high standards of accuracy and adherence to platform guidelines

As an AI Trainer & Data Annotator at DataAnnotation.tech, I evaluated large language model outputs for accuracy, quality, and coherence. I provided structured human feedback to improve LLM performance. I demonstrated meticulous attention to data validation and platform-based annotation standards. • Completed Core qualification assessment for LLM evaluation tasks • Assessed factual accuracy, logical coherence, and linguistic quality of AI-generated responses • Produced structured and thorough human feedback for AI model improvement • Maintained high standards of accuracy and adherence to platform guidelines

2025 - 2026

Education

Work History