Mohamed Nur

Key Skills

Software

Scale AI

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Computer Code Programming

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Freelancer Overview

I am a biology researcher with a strong background in molecular and cellular biology, specializing in evaluating large language model (LLM) outputs and developing domain-specific prompts for scientific data annotation. My experience includes creating and refining biology-focused prompts, assessing AI-generated responses for scientific accuracy, and designing questions to rigorously test LLM reasoning in areas such as genetics, biochemistry, and experimental design. I excel at simplifying complex scientific concepts, identifying logical errors, and ensuring high-quality training data for AI systems. My technical skills include data analysis with R and Python, as well as hands-on research in both academic and medical settings. I am passionate about advancing AI capabilities in scientific domains and thrive in remote, asynchronous work environments.

Labeling Experience

Prompt Engineering

Scale AIComputer Code ProgrammingEvaluation Rating

I conducted nuanced assessments of search engine results, evaluating relevance and content quality across a wide range of query types. While not formally titled as Prompt Engineering, the role demanded very similar core competencies: dissecting ambiguous inputs, understanding natural language queries, and applying structured criteria to evaluate AI-generated responses.

I conducted nuanced assessments of search engine results, evaluating relevance and content quality across a wide range of query types. While not formally titled as Prompt Engineering, the role demanded very similar core competencies: dissecting ambiguous inputs, understanding natural language queries, and applying structured criteria to evaluate AI-generated responses.

2024 - 2024

Education

Work History