Benjamin L.

Key Skills

Software

Other

Encord

Top Subject Matter

Medical AI

Gastroenterology Domain Expertise

Internal Medicine

Top Data Types

Text

Document

Image

Top Task Types

Red Teaming

RLHF

Prompt + Response Writing (SFT)

Evaluation/Rating

Question Answering

Fine-tuning

Freelancer Overview

AI Medical Data Annotation and Evaluation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Fellowship, McGaw Medical Center of Northwestern University (2025) and Residency, Case Western Reserve University / MetroHealth Medical Center (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

EKG Labeling on Outlier

ImageRed Teaming

In Project Valkyrie v11, I served as a medical domain expert focusing on the development of 'Ground Truth' data for clinical reasoning models. My work primarily involved creating and auditing high-fidelity ECG interpretation tasks and complex clinical differentials. I specialized in drafting 'chain-of-thought' justifications that require models to integrate visual diagnostic data with patient vitals to reach board-level diagnostic accuracy.

2026 - Present

AI Medical Data Annotation and Evaluation Specialist

Text

Evaluated the quality, safety, and accuracy of AI-generated medical advice and clinical recommendations using human feedback strategies. Reviewed and annotated AI responses for factual correctness, clinical reasoning, and resistance to sycophancy in the healthcare technology domain. Utilized advanced medical data annotation methods specifically focused on Large Language Model (LLM) outputs for gastroenterology and general internal medicine. • Assessed LLM outputs for alignment with clinical guidelines. • Applied prompt engineering to optimize AI medical responses. • Conducted fact-checking to enhance reliability of AI-generated information. • Contributed to published research on medical AI evaluation.

2023 - 2024

Education

Work History