Mechanical Engineering

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI — 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 designing complex engineering problems, authoring expert-level solutions, and auditing AI reasoning across fluid dynamics, thermodynamics, structural mechanics, and more.

This is a unique opportunity to work at the frontier of AI development — no prior AI experience needed. If you can spot a flawed stress analysis or an energy conservation violation, you already have what it takes.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Design Advanced Engineering Problems — Create challenging, multi-domain problems spanning FEA, heat transfer, kinematics, fluid mechanics, and material science to rigorously test AI performance.
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold standard benchmark for AI learning and evaluation.
• Audit AI-Generated Technical Content — Review AI outputs including CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with standards such as ASME and ISO.
• Refine AI Reasoning — Identify and document logical errors in AI-generated reasoning — from incorrect force distributions to energy conservation failures — and provide structured feedback to improve model quality.

• Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
• Deep Domain Knowledge — Strong foundations in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
• Technical Communication — Able to explain complex physical phenomena and mathematical derivations clearly and concisely in writing.
• Precision-Oriented — High attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints.
• No AI experience required — your engineering expertise is what matters.

• Prior experience with data annotation, quality evaluation, or technical review workflows.
• Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS.
• Familiarity with evaluating AI-generated code or simulation workflows.

• Work on cutting-edge AI projects alongside top research labs and engineers worldwide.
• Fully remote and flexible — set your own hours and work on your own schedule.
• Freelance autonomy with meaningful, intellectually stimulating work.
• Contribute directly to improving how AI understands and reasons through real engineering problems.
• Potential for ongoing work and contract extension.