Jerrod S.

Key Skills

Software

Don't disclose

Top Subject Matter

Pediatrics/Clinical documentation and coding support

Pediatrics/Clinical documentation workflows

Top Data Types

Text

Audio

Top Task Types

Function Calling

Freelancer Overview

Pediatrician, Murfreesboro Medical Clinic — AI integration into clinical workflow (Nabla, Calm Waters). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Doctor of Osteopathic Medicine, Campbell University School of Osteopathic Medicine (2021) and Bachelor of Arts, Wheaton College (2013). AI-training focus includes data types such as Text and Audio and labeling workflows including Function Calling, Evaluation, and Rating.

Labeling Experience

Pediatrician, Murfreesboro Medical Clinic — AI integration into clinical workflow (Nabla, Calm Waters)

Don't discloseTextFunction Calling

As a pediatrician, you integrated AI assistants into daily clinical workflow, which involves preparing structured information and enabling the AI to assist with downstream tasks like documentation support. You used tools such as Nabla (ambient listening) to convert spoken interactions into structured text signals and Calm Waters as a coding assistant to generate or support clinical coding outputs. This reflects hands-on participation in AI-assisted text generation and function-style support within a healthcare environment. • Used ambient listening outputs to support structured clinical documentation. • Applied an AI coding assistant to help generate or refine coding-related text. • Incorporated AI outputs into daily outpatient care processes. • Worked in a technology-forward practice alongside established EMR workflows.

2024 - Present

Pediatric Resident, Children’s Hospital of Richmond — clinical data creation supporting downstream AI-enabled documentation

Don't discloseAudio

During pediatric residency, you worked in hospital and emergency settings where clinical documentation and information capture are central to care and downstream data use. Although the resume does not explicitly state AI training or labeling duties during residency, your clinical rotation work likely involved generating/validating structured text artifacts used in medical information systems. The closest match to AI training/data labeling work here is quality-oriented participation in producing accurate clinical data that can be used for AI-enabled documentation and coding later in practice. • Produced clinical documentation used by inpatient/outpatient record systems. • Participated in information workflows that support structured medical data creation. • Worked across settings (trauma center, ED, NICU) requiring consistent data capture. • Used EMR systems that standardize clinical text for downstream processing.

2021 - 2024

Education

Work History