Payal A.

Key Skills

Software

Other

Datature

Top Subject Matter

Radiology (fetal/medical imaging)

Top Data Types

Medical Dicom

Top Task Types

Data Collection

Freelancer Overview

Radiology Annotator at Uber AI. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Onsite Fellowship, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital (2026) and Online Fellowship Course, Global Institute of Foetal Sciences (2026). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Data Collection.

Labeling Experience

Radiology Annotator at Uber AI

OtherData Collection

Worked as a Radiology Annotator supporting AI data preparation for radiology use cases. Focused on creating and curating labeled radiology data from clinical imaging materials. Performed annotation tasks to enable downstream model training and evaluation. • Likely annotation/labeling of radiology studies for AI readiness • Ensured data quality and consistency across labeled records • Coordinated within an AI annotation workflow at Uber AI • Followed labeling guidelines for clinical imaging interpretation

2026 - Present

Education

Work History