Mechanical Engineering

Mechanical Engineering AI Trainer

About The Role

We partner with the world's leading AI research labs to build smarter, more reliable AI systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep technical expertise to challenge, evaluate, and improve how advanced AI models reason through complex engineering problems.

This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — contributing directly to the next generation of AI tools used by engineers and researchers worldwide.

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

• Design Advanced Engineering Problems — Craft challenging problems across fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance
• Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI training and evaluation
• Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
• Refine Model Thinking — Identify and document logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed structural assumptions — and provide structured feedback to improve model quality
• Document Failure Modes — Systematically capture how and where AI models break down so engineering teams can address weaknesses
  
  

• Advanced Degree — Master's (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
• Deep Domain Knowledge — Strong foundational expertise in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Technical Communicator — Able to explain complex physical phenomena and mathematical reasoning clearly and concisely in writing
• Precision-Oriented — High attention to detail when reviewing derivations, unit conversions, boundary conditions, and physical constraints
• No AI experience required — Your engineering expertise is what matters
  
  

• Experience with data annotation, data quality, or technical evaluation workflows
• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with FEA solvers or CFD simulation environments
• Prior technical writing or peer review experience
  
  

• Work on cutting-edge AI projects with top research labs around the world
• Fully remote and flexible — work on your own schedule, 10–40 hours per week
• Freelance autonomy with meaningful, intellectually stimulating work
• Directly influence how AI understands and reasons through engineering challenges
• Potential for ongoing work and contract extension