[Hiring] Mathematics PhD - AI Evaluation Expert @Mercor

Role Description

• Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced inputs.
• Build grading criteria to define correct answers.
• 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.
  • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
  • Working proficiency in Python 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

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

Interview 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.

Application Process

• Takes 20–30 mins to complete:
• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process Details .
• For any help or support, reach out to: [email protected] .
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.