Ronald Beahm

Key Skills

Software

CloudFactory

Data Annotation Tech

Scale AI

Snorkel AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Medical Dicom

Text

Top Task Types

Prompt Response Writing SFT

RLHF

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I have a strong academic and professional background in clinical medicine, biology, and chemistry, which I apply directly to high-quality data labeling and AI training data tasks. My work has involved accurately annotating complex biomedical and scientific datasets—including clinical notes, pathology reports, molecular data, and chemical compound information—for use in natural language processing (NLP), image recognition, and predictive modeling. I’m skilled in identifying key entities such as symptoms, diagnoses, compounds, and reactions, ensuring consistency and adherence to strict annotation guidelines. What sets me apart is my ability to understand and interpret specialized scientific content with accuracy and domain knowledge. I bring both precision and efficiency to projects requiring structured labeling, ontology alignment, or medical code mapping (e.g., ICD, SNOMED). I’m also experienced with annotation tools like Prodigy, Labelbox, and custom platforms, and I work well in collaborative environments with researchers, engineers, and clinicians to refine datasets for machine learning. My scientific training enables me to contribute meaningfully to AI development in healthcare and life sciences.

Labeling Experience

Audio Recording

Scale AIAudioAudio Recording

The project required me recording while reading prompts and then rating them.

The project required me recording while reading prompts and then rating them.

2022 - 2024

Education

Work History