Mechanical Engineering

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. As a Mechanical Engineering AI Trainer, you'll go deep into the technical core of advanced language models: designing challenging engineering problems, authoring gold‑standard solutions, and exposing the reasoning gaps that hold AI back. Your expertise in fluid dynamics, thermodynamics, structural mechanics, and beyond will directly shape how the next generation of AI understands the physical world. This is a rare opportunity to apply your engineering knowledge in a high‑impact, flexible freelance role — no commute, no rigid schedule, just meaningful technical work on your terms.

What You'll Do

• Design Advanced Engineering Problems — Craft complex, domain‑spanning challenges across FEA, heat transfer, kinematics, fluid mechanics, and material science to rigorously stress‑test AI reasoning.
• Author Ground‑Truth Solutions — Develop precise, step‑by‑step technical solutions that serve as benchmarks 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 (ASME, ISO, etc.).
• Sharpen AI Reasoning — Identify and document logical failures — incorrect force distributions, energy conservation violations, flawed assumptions — and provide structured feedback to improve 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 — Deep foundations in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
• Technical Writing Ability — Capable of explaining complex physical phenomena and mathematical reasoning with clarity and precision.
• Detail‑Oriented — You catch unit conversion errors, faulty assumptions, and subtle logical inconsistencies without being prompted.
• No AI experience required — We'll get you up to speed.

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 academic research, technical writing, or engineering consulting.

Why Join Us

• Work on the cutting edge — Collaborate with teams building some of the most advanced AI models in the world.
• Fully remote and flexible — Work when and where it suits you, on a schedule you control.
• Meaningful impact — Your technical judgement directly improves AI that engineers and researchers around the world will rely on.
• Freelance autonomy — No bureaucracy, no micromanagement — just high‑quality technical work with a global team.
• Ongoing opportunity — Strong contributors are regularly considered for contract extensions and new projects.