Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Medical Dicom

Text

Top Task Types

Diagnosis

Question Answering

Translation Localization

Freelancer Overview

As a recent medical graduate (2025) with General Practitioner accreditation, I bring strong domain expertise in healthcare to AI training data tasks, particularly in medical and clinical contexts. My comprehensive training in anatomy, physiology, pathology, pharmacology, internal medicine, diagnostics, and clinical reasoning equips me to deliver precise, high-accuracy annotations for medical datasets—including text (symptoms, history-taking, complaints), imaging (e.g., X-rays, scans for bounding boxes or segmentation), and structured clinical data. Although I am entry-level in professional data labeling, I am actively preparing through self-directed practice: reviewing medical case studies, terminology drills, and OSCE simulations to ensure nuanced understanding of real-world scenarios, directly transferable to evaluating patterns, classifying data, and maintaining quality in AI model training. What sets me apart is my specialized medical knowledge combined with meticulous attention to detail, fluency in English for clear communication and guideline adherence, and eagerness to contribute to healthcare AI advancements. As a quick learner proficient in documentation tools and adaptable to annotation platforms (e.g., CVAT, Labelbox), I am motivated to provide reliable, domain-accurate outputs on flexible remote projects—helping improve AI models in diagnostics, patient assessment, and beyond while building hands-on experience in data annotation.

Labeling Experience

Education

Work History