# Structural Engineering Specialist - Fully Remote | Upto…

> Source: https://confidential.careers/job-detail/structural-engineering-specialist-fully-remote-upto-85-hr-mercor-san-francisco

# Structural Engineering Specialist - Fully Remote | Upto $85/hr

Mercor 

** San Francisco, United States ** Full Time ** Human Resources Jobs ** United States ** New

[Apply Now](https://confidential.careers/go/14083790) ** Save 

## Job Description

**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: 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.*

Posted August 15, 2026