About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week
Role Responsibilities
- 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.
Start Date
- Immediate
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:
- For any help or support, reach out to: Show email
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 7 days ago
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