Mechanical Engineering

Mechanical Engineering —

• AI Trainer

About The Role

We partner with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help us do it. This is a unique opportunity to apply your deep domain knowledge in a completely new context: teaching AI how to reason through complex engineering problems.

If you have a strong foundation in fluid dynamics, thermodynamics, structural mechanics, or related disciplines, your expertise is exactly what's needed to push the boundaries of what AI can do in technical domains.

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

What You'll Do

• Design Advanced Engineering Problems —
  • Create challenging, domain-specific problems spanning FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance.
  • Author Ground-Truth Solutions —
  • Develop precise, step-by-step technical solutions and benchmark responses that serve as the gold standard for AI learning.
  • Audit AI Reasoning —
  • Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
  • Identify and Correct Failures —
  • Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve how the AI reasons through problems.

Who You Are

• Advanced Degree —
  • Currently pursuing or holding a Master's 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.
  • Clear Technical Communicator —
  • Able to explain complex physical phenomena and mathematical derivations in clear, concise written form.
  • Precision-Oriented —
  • High attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints.
  • No prior AI experience required — if you know your engineering, we'll handle the rest.

Nice to Have

• Prior experience in data annotation, quality evaluation, or technical review workflows
• Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work on your own schedule
• Freelance autonomy with the substance of meaningful, high-impact work
• Gain rare insight into how advanced large language models are trained and evaluated
• Potential for ongoing work and contract extension