[Hiring] Computational Mechanics Expert - AI Trainer @Mercor

Role Description

• Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
• Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
• Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
• Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
• Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
• Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
• Strong Python skills for writing problem setups, oracle functions, and solution validators.
• Ability to work independently and refine problem designs based on feedback.
• Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Requirements

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

Benefits

• Compensation: $70–$85/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]
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.