Remote Mechanical Engineer for AI Reasoning & Simulation

Alignerr Corp.; Sydney; Remote; AUD 118,000 - 178,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance autonomy

Job summary

Alignerr is seeking a Mechanical Engineering Expert (AI Training) to design advanced mechanical scenarios and rigorously test AI reasoning in areas like FEA, heat transfer, and material science.

The role is a remote hourly contract requiring a Master’s or PhD in Mechanical/Aerospace Engineering or closely related fields, with strong math and clear technical communication. Collaborate with leading AI labs and contribute to high-quality benchmarks.

Qualifications

• Pursuing or holding a Master’s or PhD in Mechanical or Aerospace Engineering or closely related field.
• Strong foundations in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM or manufacturing processes.
• Able to communicate complex physical phenomena and derivations clearly in writing.
• Meticulous attention to detail in mathematical derivations, unit conversions and constraints.

Responsibilities

• Design advanced mechanical scenarios across FEA, heat transfer, kinematics, thermodynamics and materials to stress-test AI reasoning.
• Author rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation.
• Audit AI outputs: evaluate AI-generated CAD logic, thermodynamic proofs, and material specs for accuracy and safety.
• Sharpen AI reasoning by identifying and correcting flawed energy and force reasoning, providing structured feedback.

Skills

FEA

Fluid mechanics

Thermodynamics

CAD/CAM

Manufacturing processes

Education

Master's or PhD in Mechanical/Aerospace Engineering or related

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr is seeking a Mechanical Engineering Expert (AI Training) to design advanced mechanical scenarios and rigorously test AI reasoning in areas like FEA, heat transfer, and material science.

The role is a remote hourly contract requiring a Master’s or PhD in Mechanical/Aerospace Engineering or closely related fields, with strong math and clear technical communication. Collaborate with leading AI labs and contribute to high-quality benchmarks.