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Adeela Anees

Adeela Anees

Medical Data Annotator and Clinical AI Training Specialist

SAUDI_ARABIA flag
RIYADH, Saudi Arabia
$35.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Medical Domain Expertise
LLM Evaluation and Hallucination Audits
Structured Data set creation for Medical AI

Top Data Types

TextText
ImageImage
DocumentDocument

Top Label Types

Classification
Text Generation
Text Summarization
Evaluation Rating
Transcription
Data Collection
Function Calling
Entity Ner Classification
Question Answering
RLHF
Fine Tuning

Freelancer Overview

I am a licensed physician with over six years of clinical experience and three years of telemedicine practice across India and the UAE. My work has involved reviewing patient histories, interpreting symptoms and diagnostic reports, and documenting clinical encounters in electronic medical records. This experience requires careful analysis of medical terminology, identification of relevant symptoms and diagnoses, and clear clinical documentation. In addition to clinical work, I have experience in medical writing and reviewing AI-assisted medical summaries for accuracy and clarity. I am comfortable working with structured medical information, identifying patterns in patient data, and ensuring that clinical content aligns with evidence-based guidelines. My medical training and experience with digital health platforms allow me to contribute accurate clinical context when evaluating or annotating healthcare-related data.

Entry LevelEnglish

Labeling Experience

Medical Data Annotator and Clinical AI Training Specialist

OtherImageClassification
Practiced medical image and dataset labeling using VGG Image Annotator to support the development of healthcare AI models. Reviewed AI-assisted medical summaries for clinical accuracy and provided feedback on annotation quality. Validated medical content accuracy through medical writing projects focused on AI training data. • Labeled clinical images and patient datasets for supervised machine learning. • Used VGG Image Annotator to classify and validate healthcare data. • Ensured precision in symptom classification and diagnostic annotation. • Participated in clinical accuracy validation of AI-generated summaries.

Practiced medical image and dataset labeling using VGG Image Annotator to support the development of healthcare AI models. Reviewed AI-assisted medical summaries for clinical accuracy and provided feedback on annotation quality. Validated medical content accuracy through medical writing projects focused on AI training data. • Labeled clinical images and patient datasets for supervised machine learning. • Used VGG Image Annotator to classify and validate healthcare data. • Ensured precision in symptom classification and diagnostic annotation. • Participated in clinical accuracy validation of AI-generated summaries.

2022 - 2024

Education

R

Royal College of Physicians

Membership of the Royal Colleges of Physicians, Internal Medicine

Membership of the Royal Colleges of Physicians
2018 - 2024
A

Apollo Hospitals

Diploma, Diabetology and Metabolic Syndrome

Diploma
2015 - 2016

Work History

M

Medboundtimes

Medical Writing Intern

delhi
2025 - 2026
M

Mulkmed E Hospital

Telemedicine General Practitioner

Dubai
2022 - 2024