Computational Structural, Mechanical Engineering Expert

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop challenging computational scientific and engineering tasks to benchmark cutting-edge AI systems.

• Craft graduate-level challenges based on authentic scientific workflows.

• Create problems that necessitate specialized scientific software, simulations, result interpretation, experimental design, and data analysis.

• Design exact-answer computational tasks and strategic query/experiment tasks to reveal hidden insights.

• Evaluate each problem against leading AI models.

• Enhance problem designs until they achieve the desired level of difficulty.

• Author problem setups, oracle functions, and solution validators.

• Construct problems that prioritize reasoning, meticulous analysis, and non-obvious solutions.

• Operate independently while integrating feedback into problem designs.

⛳️ Requirements

• Advanced training in a relevant STEM discipline (MS, PhD, or equivalent research experience).

• Demonstrated proficiency with at least one specified scientific software library, as evidenced by research publications, open-source contributions, or professional experience.

• Strong skills in Python programming.

• Capability to work autonomously and refine problem designs based on constructive feedback.

• Comfort in a Linux/terminal environment with remote computing sandboxes.

• Availability for a minimum of 15–20 hours per week.

• Practical experience with open-source, domain-specific computational tools.

• Experience in addressing real research challenges using scientific software.

• Insight into software limitations, edge cases, and genuine sources of problem difficulty.

• H1-B and STEM OPT candidates are not supported.

• Preferred: experience across multiple specified domains or tools.

• Preferred: familiarity with benchmark or evaluation design.

• Preferred: background in scientific teaching or examination/problem-set design.

• Preferred: experience with computational reproducibility and containerized environments.

🏝️ Benefits

• Fully remote position.

• Flexible working hours / can be accomplished on your own schedule.

• Weekly payments via Stripe or Wise.

• Competitive compensation.

• Collaboration with top researchers.

• Opportunity to influence the development of the next generation of AI systems.

• Project durations may be extended, shortened, or concluded early based on needs and performance.

• Reasonable accommodations available upon request.

• Up to $400 for every successful referral.

• No cap on the number of referrals.