Key Skills

Software

No software listed

Top Subject Matter

No subject matter listed

Top Data Types

Document

Medical Dicom

Text

Top Task Types

Classification

Data Collection

Diagnosis

Emotion Recognition

Prompt Response Writing SFT

Freelancer Overview

I am a PhD-level biomedical scientist with a strong interdisciplinary background in neuropharmacology, phytotherapy, and experimental biology, currently transitioning into AI training roles with a focus on scientific and medical data. With over five years of hands-on research experience—including LC-MS/MS, GC-MS, animal studies, and behavioral neuroscience—I bring a unique analytical perspective to data annotation, quality control, and content validation tasks in artificial intelligence workflows. Trained in rigorous experimental design, data interpretation, and scientific communication, I possess the critical thinking and attention to detail essential for high-quality AI model training. My expertise in medical terminology, multi-omics data, pharmacological pathways, and behavioral markers makes me especially suited for annotation projects involving health, biology, or life sciences content. Having taught master's-level biomedical students and collaborated in international research programs, I’m adept at translating complex information into structured, interpretable formats. I thrive in autonomous work settings and respect strict project timelines and guidelines. As an intermediate AI trainer, I am particularly interested in projects involving: Biomedical document labeling and classification Visual data annotation (e.g., chromatographic profiles, organ structures) Medical Q&A training and dataset evaluation AI model alignment on research- or healthcare-related topics

Labeling Experience

Education

Work History