Bre J.

Key Skills

Software

Other

Top Subject Matter

Clinical diagnostics and internal medicine

Medical content (clinical knowledge bases)

Internal medicine and clinical diagnostics (medical text and terminology)

Top Data Types

Text

Document

Top Task Types

No task types listed

Freelancer Overview

Postdoctoral Researcher, AI in Medicine (AI-driven diagnostic dataset curation and clinical output evaluation). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, Harvard Medical School (2022) and Doctor of Medicine, Harvard Medical School (2018). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Postdoctoral Researcher, AI in Medicine (AI-driven diagnostic dataset curation and clinical output evaluation)

In her postdoctoral role, she curated datasets and evaluated AI model outputs specifically for clinical diagnostic accuracy. She supported dataset quality improvement cycles by assessing model outputs against clinical standards and accuracy needs. The work involved labeling-adjacent validation, where outputs and training data were judged for correctness and clinical terminology alignment. • Curated datasets for AI-driven diagnostic tools • Evaluated model outputs for clinical accuracy • Published work on AI applications relevant to pharmacology and diagnostics • Led research efforts related to AI-enhanced diagnostic models

2023 - Present

Freelance Medical Content Reviewer (annotation and scoring for medical datasets)

Other

As a freelance medical content reviewer, she reviewed and annotated medical datasets intended for use on clinical information platforms. She developed and applied scoring criteria to validate AI medical content against standards and compliance requirements. This role reflects ongoing human-in-the-loop labeling and quality assessment for medical text and structured medical content. • Reviewed and annotated 80+ medical datasets • Applied scoring criteria for AI medical content validation • Ensured compliance with medical content standards • Delivered 10+ projects totaling $15,000+

2018 - Present

Clinical Researcher, Internal Medicine (AI medical content evaluation and dataset curation)

OtherText

In her clinical researcher role, she evaluated AI-generated medical content and provided feedback to improve model accuracy. She also curated large medical datasets for AI training with strict quality targets for clinical terminology errors. This work constituted supervised labeling-like validation and dataset curation to support clinical diagnostics models. • Evaluated AI-generated medical content and provided detailed feedback • Curated 50+ medical datasets for AI training • Ensured <1% error in clinical terminology • Collaborated with technical teams to refine AI tools based on medical guidelines

2019 - 2022

Resident Physician, Internal Medicine (case study analysis and AI response feedback for training)

Text

During residency, she analyzed clinical case studies for use in AI training across pathology and pharmacology domains. She provided feedback on AI responses to ensure alignment with clinical standards. The role served as human review and evaluation of case-based training materials and model outputs for downstream AI development. • Analyzed 100+ clinical case studies for AI training • Provided feedback on AI responses for clinical alignment • Contributed to EHR optimization to improve documentation accuracy • Supported data quality improvements relevant to clinical AI

2018 - 2019

Education

Work History