Role OverviewMercor connects elite creative and technical talent with leading AI research labs. As a Materials Science PhD - AI Evaluator, you will source material from published papers, Kaggle datasets, open-source repositories, or designed scenarios, and work independently and asynchronously to meet deadlines and improve AI model performance.
What You Will Do
Your responsibilities will include writing scientific prompts based on sourced input to challenge AI models, building grading criteria to define correct answers for scientific tasks, and calibrating tasks against frontier models.
Why It Might Be a Fit
This role requires a PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field, with demonstrated depth in semiconductor materials and molecular modeling, and working proficiency in Python, R, or another relevant programming language for scientific computing.
Requirements
- PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field
- Demonstrated depth in semiconductor materials and molecular modeling
- Working proficiency in Python, R, or another relevant programming language for scientific computing
Benefits
- Hourly compensation of $70/hour
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