Computational Scientist - AI Trainer

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: STEM Computational Scientific Software & Evaluation Design
Type:Contract
Compensation:$45–$100/hour
Location:Remote
Commitment:15–20 hours/week

Role Responsibilities

• 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

Must-Have

• 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.

Preferred

• 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.

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: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.