George G.

Key Skills

Software

Appen

Data Annotation Tech

Mercor

Label Studio

Dataloop

Clickworker

Top Subject Matter

AI/Technology & Generative AI Development

Enterprise AI & Business Intelligence

AI Safety, Ethics & Research

Top Data Types

Text

Image

Video

Top Task Types

Classification

Segmentation

Text Generation

Question Answering

Text Summarization

RLHF

Transcription

Red Teaming

Fine-tuning

Object Detection

Evaluation/Rating

Freelancer Overview

I am an AI professional with an M.S. in Data Science from Wrexham University and 6+ years of hands-on experience in AI development, NLP workflows, and machine-learning training-data evaluation. My expertise spans the full spectrum of data annotation—from designing labeling frameworks and creating detailed annotation guidelines to conducting quality assurance reviews, validating dataset integrity, and providing structured feedback loops for model improvement. I have collaborated directly with ML researchers and product teams at leading AI organizations (DeepMind, TechCrunch, IBM Watson) to evaluate training datasets, assess annotation consistency, identify data quality gaps, and ensure datasets meet production-level accuracy standards. My technical foundation in NLP, machine learning, and Python enables me to quickly master annotation tools and taxonomies. At the same time, my background in research and editorial quality assurance ensures meticulous attention to detail and high inter-annotator agreement rates.

Labeling Experience

Senior AI content Writer

TextText Generation

Annotated and evaluated 500+ AI safety research papers and technical articles for accuracy, methodology rigor, and alignment approach classification. Developed detailed annotation guidelines for categorizing safety concerns (deception, misalignment, scalable oversight) and labeling mitigation strategies, achieving 94% inter-annotator agreement. Provided quality assurance feedback to improve training data consistency for models designed to evaluate AI safety research quality.

2025 - Present

AI & Technology Writer

DocumentData Collection

Annotated and classified 1,500+ AI industry news articles and announcements, labeling breakthrough innovations vs. incremental product updates while identifying misleading claims and hype. Evaluated accuracy of AI company announcements, product capabilities, and policy implications; provided fact-checking feedback that reduced misinformation in technical reporting. Trained ML models to automatically assess news relevance, credibility, and impact to support AI trend detection systems.

2023 - 2023

Education

Work History