Structural Engineering Specialist - Fully Remote Upto $85 HR

### 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:** Computational Structural & Mechanical Engineering Expert **Type:****Contract** **Compensation:****$70–$85/hour** **Location:****Remote** **Commitment:****15–20 hours/week** ### Role Responsibilities * 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 **Must-Have** * ****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.** ### **Preferred** * **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.** ### **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:** * **For any help or support, reach out to:** **_PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity._** Originally posted on [Himalayas](https://himalayas.app)