Mechanical Engineering

Mechanical Engineering AI Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work by challenging, auditing, and refining how advanced AI models reason through real engineering problems.
This is a rare opportunity to work at the intersection of engineering and artificial intelligence — without leaving your home office.
Organization: Alignerr
Type: Hourly Contract
Location: Fully Remote
Commitment: 10–40 hours/week (flexible)
What You'll Do
Design Complex Engineering Problems — Craft advanced, domain-specific challenges spanning FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to rigorously test AI capabilities.
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark "golden responses" that AI models learn from and are evaluated against.
Audit Technical Reasoning — Review AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.).
Identify and Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions, and provide structured feedback that directly improves AI reasoning.
Who You Are
Highly Educated in the Field — Master's degree (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
Deep Domain Knowledge — Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
A Clear Technical Communicator — Able to translate complex physical phenomena and mathematical derivations into clear, structured written explanations.
Precise and Detail-Oriented — Meticulous when reviewing mathematical proofs, unit conversions, boundary conditions, and physical system constraints.
No AI experience required — if you know engineering, we'll handle the rest.
Nice to Have
Prior experience with data annotation, technical writing, or evaluation systems
Proficiency with engineering software such as SolidWorks, ANSYS, or MATLAB
Familiarity with AI/ML workflows or large language model evaluation
Why Join Us
Work on the Cutting Edge — Collaborate directly with teams building the most advanced AI models in the world.
Full Flexibility — Work remotely on your own schedule, fitting the role around your existing commitments.
Meaningful Impact — Your engineering expertise directly shapes how AI understands and reasons about the physical world.
Autonomy — No micromanagement. You own your work and deliver with independence.
Freelance Freedom — Enjoy the perks of contract work: flexibility, variety, and global collaboration.
Potential for Ongoing Work — High-quality contributors are regularly offered contract extensions.

Work arrangement
Yes