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Hannah Johnson

Hannah Johnson

AI Medical Content Evaluator & Trainer (Contract)

USA flag
Washington, Usa
ExpertLabel StudioDoccanoProdigy

Key Skills

Software

Label StudioLabel Studio
DoccanoDoccano
ProdigyProdigy
Scale AIScale AI
Snorkel AISnorkel AI

Top Subject Matter

Medical Domain Expertise
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Label Types

Classification

Freelancer Overview

AI Medical Content Evaluator & Trainer with a strong background in healthcare and clinical knowledge. Experienced in reviewing and labeling AI-generated medical text to ensure factual accuracy, clarity, and alignment with evidence-based medical standards. Skilled in identifying hallucinations, reasoning gaps, and safety risks within AI outputs. Holds a Bachelor of Science from the University of Maryland. Experienced in AI training workflows involving text data, including evaluation, rating, and structured annotation to improve large language model performance and reliability in healthcare-related applications.

ExpertSwahiliFrenchSpanishEnglish

Labeling Experience

AI Medical Content Evaluator & Trainer (Contract)

TextClassification
As an AI medical content evaluator and trainer, I reviewed and annotated AI-generated medical responses for accuracy and clarity. My responsibilities included identifying hallucinations and reasoning gaps within textual outputs. I provided structured feedback to enhance AI model alignment and safety. • Labeled and annotated medical datasets for AI system improvement. • Evaluated AI-generated content for factual accuracy and patient safety. • Delivered comprehensive quality assurance and error identification. • Used structured annotation protocols to support medical AI advancements.

As an AI medical content evaluator and trainer, I reviewed and annotated AI-generated medical responses for accuracy and clarity. My responsibilities included identifying hallucinations and reasoning gaps within textual outputs. I provided structured feedback to enhance AI model alignment and safety. • Labeled and annotated medical datasets for AI system improvement. • Evaluated AI-generated content for factual accuracy and patient safety. • Delivered comprehensive quality assurance and error identification. • Used structured annotation protocols to support medical AI advancements.

2022 - 2025

Education

U

University of Maryland

Bachelor of Science, Nursing

Bachelor of Science
2011 - 2015

Work History

M

MedStar Health

Registered Nurse

Washington
2022 - Present