[Hiring] Mathematics PhD - AI Evaluation Expert @Mercor

Role Description

• Source original material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced input to challenge frontier models.
• Build grading criteria that define correct answers for scientific tasks.
• Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

• Must-Have: PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
• Demonstrated depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
• Working proficiency in Python or R for scientific computing.
• Comfortable with Git/GitHub and running code in Docker.
• Preferred: Publications in peer-reviewed journals.
• Prior scientific software or research engineering experience.

Requirements

• Type: Contract
• Compensation: $70/hour
• Location: Remote
• Duration: 6 weeks
• Commitment: 20+ hours/week

Application Process

• Upload your resume and application form.
• A 25-minute conversational interview covering your background, experience, and motivations.
• Follow up within a few days with next steps and onboarding.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.