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Audrey Thirel

Healthcare Data Annotation & AI Model Support - Tilak Healthcare

France flagParis, France
$20.00/hrIntermediateLabelimgRoboflowLabel Studio

Key Skills

Software

LabelImgLabelImg
RoboflowRoboflow
Label StudioLabel Studio
LabelboxLabelbox
Google Cloud Vertex AIGoogle Cloud Vertex AI
AWS SageMakerAWS SageMaker

Top Subject Matter

Healthcare/Clinical Data
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Classification
Segmentation
Object Detection
Bounding Box
Question Answering
Text Summarization

Freelancer Overview

Healthcare Data Annotation & AI Model Support - Tilak Healthcare. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Engineering School Degree, ECE Paris (2021) and Master of Science, Université Paul Sabatier (2019). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

IntermediateEnglishFrenchSpanish

Labeling Experience

Healthcare Data Annotation & AI Model Support - Tilak Healthcare

Classification
I participated hands-on in healthcare data annotation pipelines, performing structured labeling of clinical data to support AI model training and performance evaluation. I contributed to model performance improvement by applying clinical knowledge to validate the accuracy of AI outputs on medical data. The work focused on supporting the lifecycle of AI models in a clinical environment.• Performed classification and structured annotation of medical data for AI training • Applied domain expertise to validate and improve model outputs • Supported multiple iterations of AI model performance evaluation • Worked as part of a cross-functional health technology product team

I participated hands-on in healthcare data annotation pipelines, performing structured labeling of clinical data to support AI model training and performance evaluation. I contributed to model performance improvement by applying clinical knowledge to validate the accuracy of AI outputs on medical data. The work focused on supporting the lifecycle of AI models in a clinical environment.• Performed classification and structured annotation of medical data for AI training • Applied domain expertise to validate and improve model outputs • Supported multiple iterations of AI model performance evaluation • Worked as part of a cross-functional health technology product team

2021 - 2025

Education

E

ECE Paris

Engineering School Degree, Health and Technology

Engineering School Degree
2021 - 2021
U

Université Paul Sabatier

Master of Science, Neuropsychology and Clinical Neurosciences

Master of Science
2019 - 2019

Work History

T

Tilak Healthcare

Clinical Product Analyst

Paris
2021 - Present
S

Syneos Health

Regulatory Specialist Intern

Paris
2021 - 2021