Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Structural Engineer - Computational Mechanics - AI Trainer

Job

Mercor

Remote

$176,800 Salary, Part-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/11/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

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:
STEM Computational Scientific Software & Evaluation Design -
Structural & Mechanical Engineering Type:
Contract Compensation:
$70-$100/hour
Location:
Remote Commitment:
15-20 hours/week Role Responsibilities Design graduate-level computational problems using domain-specific scientific software libraries . Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments. Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty. Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering . Work independently in a Linux/terminal environment with remote compute sandboxes . Collaborate asynchronously to improve AI model performance and problem-solving strategies. Qualifications Must-Have Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ). Proficiency with at least one listed scientific software library . Strong Python programming skills. Ability to work independently and iterate on problem designs. Comfortable in a Linux/terminal environment . Preferred Experience across multiple listed domains or tools. Familiarity with benchmark or evaluation design. Background in scientific pedagogy 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. #hiringmercor