[Hiring] Computational Scientist - AI Trainer @Mercor

Role Description

• Design computational problems using domain-specific scientific software libraries.
• Evaluate AI models by testing problem-solving capabilities in scientific workflows.
• Develop strategies for querying simulations and interpreting outputs.
• Collaborate to refine problem designs through calibration with AI models.
• Work independently and asynchronously to meet project goals.

Qualifications

• Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
• Proficiency with at least one listed scientific software library.
• Strong Python programming skills.
• Ability to work in a Linux/terminal environment.
• Available for 15–20 hours/week.

Requirements

• Experience across multiple listed domains or tools.
• Familiarity with benchmark or evaluation design.
• Background in scientific pedagogy or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.

Benefits

• Compensation: $45–$100/hour
• Location: Remote
• Commitment: 15–20 hours/week

Application Process

• 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
• For any help or support, reach out to: [email protected]