Structural Engineering Specialist - Fully Remote | Upto $85/hr
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Computational-Engineering, Structural-Engineering, AI-Research, Scientific-Computing, Technical-Consulting, Senior-Remote-Structural-Tower-Designer, Remote-Senior-Lattice-Structure-Designer, Senior-Civil-Structural-Engineer, Structural-Design-Engineer, Structural-Engineering-Professional
- Source
- himalayas
- First observed
- 2026-08-13 23:52 UTC
- Last seen
- 2026-08-13 23:52 UTC
- Source claims posted
- 2026-08-13 21:59 UTC
- Consecutive misses
- 3 of 10
What the posting says
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
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 4 observation(s).
- + Days open - fineOpen for 0 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#53335 2026-08-13 23:52 UTCPublished
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#55874 2026-08-14 03:52 UTCNot seenMiss 1 in a row
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#57096 2026-08-14 05:53 UTCNot seenMiss 2 in a row
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#58965 2026-08-14 07:53 UTCNot seenMiss 3 in a row