Computational Mathematician - Fully Remote | Upto $70/hr

mercor; India; Remote; INR 8.009.000 - 12.014.000; Vollzeit

Zusammenfassung

Mercor is seeking a Mathematics PhD Coding Expert for a remote, six-week contract. The role involves sourcing material from papers and data sources, writing prompts, and building grading criteria to assess AI model performance. Expect independent, deadline-driven work with flexible hours (20+ per week).

Requirements include a PhD in mathematics or related field, deep expertise in multiple subdomains, and proficiency in Python, GitHub, and Docker. Immediate start; interview to follow promptly.

Qualifikationen

• PhD in mathematics or closely related field.
• Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
• Proficiency in Python for scientific computing.

Aufgaben

• Source material from papers, Kaggle datasets, open-source repos, or self-designed scenarios.
• Write scientific prompts based on sourced inputs.
• Build grading criteria to define correct answers.
• Calibrate tasks to frontier models; ship only when strong models fail more often.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Kenntnisse

Analytical thinking

Independent work

Deadline orientation

Ausbildung

PhD in mathematics

Tools

Python

Git/GitHub

Docker

Jobbeschreibung

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

• 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:
• For any help or support, reach out to:

Originally posted on Himalayas