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 in a brand-new way: stress-testing advanced AI on the hardest problems in fluid dynamics, thermodynamics, structural mechanics, and beyond.

If you've ever wanted to shape how AI thinks about engineering, this is your chance.

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

What You'll Do

- Design Complex Engineering Problems —
- Craft advanced, multi-step challenges across domains like FEA (Finite Element Analysis), heat transfer, kinematics, material science, and mechatronics to push AI to its limits.
- Author Ground-Truth Solutions —
- Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning — clear, accurate, and built to engineering standards.
- Audit AI Reasoning —
- Evaluate AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for technical accuracy, safety, and compliance with standards such as ASME and ISO.
- Refine AI Thinking —




- Identify and document logical errors in AI reasoning — from incorrect force distributions to energy conservation violations — and provide structured feedback that directly 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
- Strong domain knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Analytical communicator — able to translate complex physical phenomena into clear, precise written explanations
- Detail-oriented — rigorous when checking mathematical derivations, unit conversions, and physical system constraints
- No prior AI experience required — your engineering expertise is what matters

Nice to Have

- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
- Background in research, academia, or technical writing

Why Join Us

- Work on genuinely cutting-edge AI projects alongside world-class research teams
- Fully remote and versatile — work on your own schedule, as much or as little as fits your life
- Freelance autonomy with meaningful, intellectually stimulating work
- Contribute to AI development that will shape the future of engineering and science
- Potential for ongoing work and contract extension

📌 Mechanical Engineering (Australia)
🏢 Alignerr
📍 Australia