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Mayda Asif

Medical Data SME & AI Trainer

Pakistan flagLahore, Pakistan
Entry Level

Key Skills

Software

No software listed

Top Subject Matter

Medical Domain Expertise
Biomedical Domain Expertise
Clinical Entity Recognition

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHFRLHF

Freelancer Overview

Medical Data SME & AI Trainer. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes a Doctor of Physical Therapy (2019). AI-training focus includes data types such as Text and labeling workflows, including RLHF.

Entry Level

Labeling Experience

Data Labeler

ImageClassification
I have worked as a data labeller on a mobile diagnosis app, annotating images and text-based cases to enhance clinical AI performance.

I have worked as a data labeller on a mobile diagnosis app, annotating images and text-based cases to enhance clinical AI performance.

2026 - Present

Medical Data SME & AI Trainer

TextRLHF
As a Medical Data SME & AI Trainer, I provided expertise in training Large Language Models (LLMs) on specialized medical datasets. I executed complex data annotation tasks, such as clinical chart abstraction and medical entity extraction for model improvement. I also evaluated and refined AI-generated content and conducted quality assurance audits on annotated datasets. • Achieved over 99% accuracy in labeling medical data • Ensured all outputs adhered to 2024-2025 peer-reviewed medical literature • Maintained strict HIPAA compliance and PII/PHI redaction • Specialized in clinical entity recognition and high-precision annotation

As a Medical Data SME & AI Trainer, I provided expertise in training Large Language Models (LLMs) on specialized medical datasets. I executed complex data annotation tasks, such as clinical chart abstraction and medical entity extraction for model improvement. I also evaluated and refined AI-generated content and conducted quality assurance audits on annotated datasets. • Achieved over 99% accuracy in labeling medical data • Ensured all outputs adhered to 2024-2025 peer-reviewed medical literature • Maintained strict HIPAA compliance and PII/PHI redaction • Specialized in clinical entity recognition and high-precision annotation

2025 - Present

Education

N

N/A

Doctor of Physical Therapy, Physical Therapy

Doctor of Physical Therapy
2019 - 2025

Work History

N

N/A

Health Communicator and Medical Writer

Lahore
2024 - Present
N

N/A

Clinical Doctor of Physical Therapy

Lahore
2019 - 2025