Charlotte Whitehead

Key Skills

Software

AWS SageMaker

Appen

Clickworker

Labelbox

Mindrift

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Label Types

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Red Teaming

Translation Localization

Freelancer Overview

Senior Data Annotation Specialist & AI Trainer, I Lead data annotation and AI training initiatives for generative AI models, specializing in technical and engineering content annotation. Develop annotation guidelines, quality metrics, and evaluation frameworks for LLM training datasets. Key Responsibilities: • Annotate and validate 500+ technical documents monthly for AI training datasets, maintaining 98%+ accuracy rate • Design and implement annotation schemas for complex engineering content including technical specifications, design documents, and regulatory standards • Evaluate and rate LLM outputs across 1,000+ prompts, providing detailed feedback for model improvement • Create structured annotation guidelines that improved inter-annotator agreement by 35% • Develop quality control processes including multi-tier review systems and error correction protocols • Train and mentor junior annotators on technical content labeling and domain-specific annotation standards • Collaborate with ML engineers to refine data collection strategies and improve model performance Data Annotation Lead & Technical Validator HDR, Inc. i Managed data collection, annotation, and validation for AI-enhanced infrastructure monitoring systems. Created training datasets from structural inspection reports, sensor data, and engineering documentation. Key Responsibilities: • Annotated structural assessment reports, technical drawings, and inspection data for predictive maintenance AI models

Labeling Experience

SENIOR DATA ANNOTATION SPECIALIST AND AI TRAINER

LabelboxTextEntity Ner ClassificationEvaluation Rating

Lead data annotation and AI training initiatives for generative AI models, specializing in technical and engineering content annotation. Annotate and validate 500+ technical documents monthly for AI training datasets, maintaining 98%+ accuracy rate. Design and implement annotation schemas for complex engineering content including technical specifications, design documents, and regulatory standards. Evaluate and rate LLM outputs across 1,000+ prompts, providing detailed feedback for model improvement. Create structured annotation guidelines that improved inter-annotator agreement by 35%. Developed 1,000+ AI training prompts that improved engineering model accuracy by 28%. Created Civil Engineering Knowledge Corpus (CEKC) containing 5,000+ annotated technical documents used by multiple AI research teams.

Lead data annotation and AI training initiatives for generative AI models, specializing in technical and engineering content annotation. Annotate and validate 500+ technical documents monthly for AI training datasets, maintaining 98%+ accuracy rate. Design and implement annotation schemas for complex engineering content including technical specifications, design documents, and regulatory standards. Evaluate and rate LLM outputs across 1,000+ prompts, providing detailed feedback for model improvement. Create structured annotation guidelines that improved inter-annotator agreement by 35%. Developed 1,000+ AI training prompts that improved engineering model accuracy by 28%. Created Civil Engineering Knowledge Corpus (CEKC) containing 5,000+ annotated technical documents used by multiple AI research teams.

2020

DATA ANNOTATION LEAD AND TECHNICAL VALIDATOR

Aws Sagemaker3D SensorEntity Ner ClassificationClassification

Managed data collection, annotation, and validation for AI-enhanced infrastructure monitoring systems. Created training datasets from structural inspection reports, sensor data, and engineering documentation. Annotated structural assessment reports, technical drawings, and inspection data for predictive maintenance AI models. Developed annotation standards for engineering document classification and entity extraction. Validated and corrected model-generated annotations for 200+ infrastructure projects. Created labeled datasets for computer vision systems analyzing structural defect detection. Built foundational dataset of 3,000+ annotated bridge inspection reports for AI-driven predictive maintenance. Reduced annotation errors by 45% through implementation of dual-review quality control process.

Managed data collection, annotation, and validation for AI-enhanced infrastructure monitoring systems. Created training datasets from structural inspection reports, sensor data, and engineering documentation. Annotated structural assessment reports, technical drawings, and inspection data for predictive maintenance AI models. Developed annotation standards for engineering document classification and entity extraction. Validated and corrected model-generated annotations for 200+ infrastructure projects. Created labeled datasets for computer vision systems analyzing structural defect detection. Built foundational dataset of 3,000+ annotated bridge inspection reports for AI-driven predictive maintenance. Reduced annotation errors by 45% through implementation of dual-review quality control process.

2015 - 2020

Education

Work History