Jobs · Engineering

Mechanical Engineering

Alignerr · Atlanta, GA · Today
RemoteRemoteEngineeringContract

About the role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. Your deep domain expertise will directly shape how AI reasons through complex engineering problems, from fluid dynamics to structural mechanics. This is a unique opportunity to apply your engineering knowledge in a new frontier: teaching AI to think like an expert.

Responsibilities

  • Design Advanced Engineering Problems — Create challenging, domain-specific problems across FEA, heat transfer, kinematics, thermodynamics, and material science that push AI to its limits
  • Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
  • Audit AI Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
  • Refine Model Thinking — Identify flawed reasoning in AI outputs — such as incorrect force distributions, energy conservation violations, or faulty assumptions — and provide structured feedback to improve model performance

Requirements

  • Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
  • Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
  • Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
  • Highly precise when working through mathematical derivations, unit conversions, and physical system constraints
  • Self-motivated and comfortable working independently on an async, flexible schedule
  • No prior AI experience required

Qualifications

  • Nice to have: Experience with data annotation, data quality review, or evaluation systems
  • Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
  • Experience reviewing or auditing technical documentation or engineering workflows

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