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Amna Asick

Amna Asick

Co-founder - Medical Education Access

UNITED_KINGDOM flag
London, United Kingdom
$65.00/hrIntermediateDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Fine Tuning
Evaluation Rating
Prompt Response Writing SFT

Freelancer Overview

I have a strong background in data collection, analysis, and management through my clinical research collaboration, where I systematically gathered and reviewed medical data for a peer-reviewed study. My experience working with diverse datasets, adhering to ethical standards, and collaborating with multidisciplinary teams has equipped me with excellent analytical and organizational skills relevant to data labeling and AI training projects. I am skilled in Excel and PowerPoint for data handling and reporting, and I have a proven track record of attention to detail, accuracy, and process optimization from both my research and business operations roles. My academic focus in medicine and management, along with hands-on experience in education and consulting, allows me to approach data annotation tasks with precision, reliability, and a deep understanding of sensitive data domains.

IntermediateEnglishTamil

Labeling Experience

Subject Matter Expert & AI Trainer - Valkyrie

Don T DiscloseTextFine TuningEvaluation Rating
Served as a Subject Matter Expert on the Outlier Valkyrie project, specializing in Reinforcement Learning from Human Feedback (RLHF) to evaluate and improve Large Language Models (LLMs). I leveraged my domain expertise to design highly complex, real-world prompts focused on clinical dermatology, nutritional science, and advanced mathematics. My core responsibilities included 'model stumping' to test AI limits in these specialized fields, developing precise grading rubrics, and critically analyzing the accuracy and safety of AI-generated responses. Through rigorous human feedback, I directly contributed to enhancing the models' clinical reasoning, mathematical accuracy, and overall alignment.

Served as a Subject Matter Expert on the Outlier Valkyrie project, specializing in Reinforcement Learning from Human Feedback (RLHF) to evaluate and improve Large Language Models (LLMs). I leveraged my domain expertise to design highly complex, real-world prompts focused on clinical dermatology, nutritional science, and advanced mathematics. My core responsibilities included 'model stumping' to test AI limits in these specialized fields, developing precise grading rubrics, and critically analyzing the accuracy and safety of AI-generated responses. Through rigorous human feedback, I directly contributed to enhancing the models' clinical reasoning, mathematical accuracy, and overall alignment.

2025 - 2025

Education

I

Imperial College London

Bachelor of Medicine, Bachelor of Surgery, Bachelor of Science, Medicine and Management

Bachelor of Medicine, Bachelor of Surgery, Bachelor of Science
2022 - 2028
I

Imperial College London

Bachelor of Science, Business Management

Bachelor of Science
2025 - 2025

Work History

M

Medical Education Access Project

Co-founder

London
2023 - Present
B

BMoney Wize

Consultant

London
2025 - 2026