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 designing challenging problems, auditing AI reasoning, and helping next-generation models think like real engineers.
This is a rare opportunity to directly influence how AI understands and applies the physical world — from fluid dynamics and thermodynamics to structural mechanics and beyond.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Engineering Problems — Create rigorous, multi-step problems across domains like FEA, heat transfer, kinematics, and material science to stress-test AI performance at the frontier of technical reasoning.
- Author Ground-Truth Solutions — Develop detailed, step-by-step benchmark solutions that AI models use as a gold standard for learning and evaluation.
- Audit AI Technical Reasoning — Review AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
- Refine Model Thinking — Identify flaws in AI reasoning such as incorrect force distributions, energy conservation errors, or invalid assumptions, and provide structured feedback that meaningfully improves model performance.
Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Deep Domain Knowledge: Strong foundational expertise in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Clear Technical Communicator: Able to articulate complex physical phenomena and engineering reasoning in precise, well-structured written form.
- Detail-Oriented: High precision when reviewing mathematical derivations, unit analysis, and physical system constraints.
- No prior AI experience required — if you understand engineering, we'll handle the rest.
Bonus Points
- Experience with data annotation, technical evaluation, or quality assurance workflows
- Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with evaluating simulation outputs or computational workflows
Why Join Us
- Work on cutting-edge AI — Collaborate directly with teams building some of the world's most advanced AI systems
- Fully remote and flexible — Work on your own schedule, from anywhere
- Freelance autonomy — Choose your hours and workload within the 10–40 hour range
- Meaningful impact — Your engineering expertise directly shapes how AI reasons about the physical world
- Ongoing opportunities — Strong performers are considered for contract extensions and future projects
