Mechanical Engineering Expert - AI Content Specialist

We're looking for mechanical engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and beyond.

This is a unique opportunity to sit at the intersection of rigorous engineering and cutting-edge AI research, working remotely on your own schedule with some of the world's leading AI labs.

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

• Design Advanced Engineering Problems — Create challenging, domain-specific problems spanning FEA (Finite Element Analysis), heat transfer, kinematics, fluid mechanics, and material science to rigorously test AI performance.
• Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions that serve as benchmark "golden responses" for AI model training and evaluation.
• Audit AI Reasoning — Critically 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).
• Refine Model Thinking — Identify logical failures in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed material assumptions — and provide structured feedback to improve model performance.

• Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Strong foundational knowledge across core engineering domains: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex technical concepts and physical phenomena clearly and precisely in written form
• Highly detail-oriented — comfortable checking mathematical derivations, unit conversions, and physical system constraints
• No prior AI experience required — your engineering expertise is what matters

• Experience with data annotation, data quality evaluation, or technical review workflows
• Familiarity with engineering software such as Solid Works, MATLAB, or ANSYS to evaluate AI-generated code or simulation workflows

• Work on genuinely cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — work when and how much you want, within a 10–40 hour/week range
• Gain rare, behind-the-scenes exposure to how advanced large language models (LLMs) are trained and evaluated
• Freelance autonomy with the intellectual depth of high-stakes engineering work
• Potential for ongoing contract extension as projects evolve