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 make it happen. This is a unique opportunity to apply your deep engineering knowledge in a cutting-edge AI context, working remotely on your own schedule.

You'll put advanced AI models through their paces across fluid dynamics, thermodynamics, structural mechanics, and more — designing problems that expose the limits of AI reasoning and crafting the gold-standard solutions that help these models improve.

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

What You'll Do

• Design Challenging Problems — Create advanced mechanical engineering problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to stress-test AI model performance
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit Technical Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
• Refine AI Thinking — Identify flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or faulty material assumptions — and provide structured feedback to improve model outputs

Who You Are

• Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
• Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex physical phenomena and technical reasoning clearly and concisely in writing
• Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
• Self-motivated and comfortable working independently in an async remote environment
• No prior AI experience required — your engineering expertise is what matters

Nice to Have

• Experience with data annotation, technical evaluation, or quality assurance workflows
• Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
• Familiarity with AI or machine learning concepts

Why Join Us

• Work on genuinely cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — set your own hours and workload
• Gain rare, first-hand exposure to how large language models are trained and evaluated
• Freelance autonomy with the backing of a professional, globally collaborative team
• Potential for ongoing contract extension as projects grow