Computational Structural, Mechanical Engineering Expert

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Create challenging computational scientific and engineering problems for benchmarking advanced AI systems • Design graduate-level problems based on real scientific workflows • Develop problems requiring specialized scientific software, simulations, result interpretation, experiment design, and data analysis • Create exact-answer computational tasks and strategic query/experiment tasks that uncover hidden information • Test each problem against state-of-the-art AI models • Refine problem designs until they reach the target difficulty • Write problem setups, oracle functions, and solution validators • Design problems emphasizing reasoning, careful analysis, and non-obvious solutions • Work independently and incorporate feedback into problem designs

🎯 Requirements

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one listed scientific software library, demonstrated through research publications, open-source contributions, or professional work • Strong Python skills • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week • Hands-on experience with open-source, domain-specific computational tools • Experience solving actual research problems with scientific software • Understanding of software limitations, edge cases, and sources of genuine problem difficulty • H1-B and STEM OPT candidates are not supported • Nice to have: experience across multiple listed domains or tools • Nice to have: familiarity with benchmark or evaluation design • Nice to have: background in scientific teaching or exam/problem-set design • Nice to have: experience with computational reproducibility and containerized environments

🏖️ Benefits

• Fully remote role • Flexible schedule / can be completed on your own schedule • Weekly payments via Stripe or Wise • Competitive pay • Collaboration with leading researchers • Opportunity to help shape the next generation of AI systems • Projects may be extended, shortened, or concluded early depending on needs and performance • Reasonable accommodations upon request • Up to $400 for each successful referral • No limit on referrals