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 models — and we need mechanical engineers to make it happen. This is a unique opportunity to apply your deep domain knowledge to one of the most consequential technology challenges of our time: teaching AI to reason correctly about the physical world.
You'll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics — stress-testing their reasoning, catching their mistakes, and helping them get better.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Engineering Problems — Create rigorous, domain-specific challenges across FEA, heat transfer, kinematics, material science, and more to probe the limits of AI reasoning.
Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the benchmarks AI models learn from.
Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.).
Sharpen AI Reasoning — Identify and document logical failures — incorrect force distributions, energy conservation violations, flawed assumptions — and provide structured feedback that directly improves model performance.
Who You Are
Advanced Degree in Mechanical Engineering, Aerospace Engineering, or a closely related field (Master's pursuing or completed, or PhD)
Strong Domain Knowledge in core ME disciplines — solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
Clear Technical Communicator — able to explain complex physical phenomena and mathematical reasoning in writing with precision and clarity
Detail-Oriented — meticulous when checking derivations, unit conversions, boundary conditions, and system constraints
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, quality evaluation, or technical review workflows
Hands-on familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
Background in research, academia, or technical writing
Why This Role
Work fully remotely on a flexible schedule that fits around your existing commitments
Contribute directly to cutting-edge AI development alongside top research labs
Apply your engineering expertise in a novel, intellectually stimulating environment
Gain firsthand exposure to how large language models are trained and evaluated
Freelance autonomy — you choose when and how much you work
Potential for ongoing contract extension based on performance

Work arrangement
Yes