Mechanical Engineering Expert - AI Content Specialist

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers who know their stuff. As a Mechanical Engineering Expert, you'll stress-test cutting-edge AI by designing complex engineering problems, authoring expert-level solutions, and auditing AI reasoning across fluid dynamics, thermodynamics, structural mechanics, and more.

Your work won't just sit in a spreadsheet — it will directly shape how AI understands and reasons through real engineering challenges.

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

• Design Advanced Problems: Craft challenging mechanical engineering problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to expose weaknesses in AI reasoning.
• Author Gold-Standard Solutions: Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning — the kind of thorough, precise answers you'd expect from a top engineer.
• Audit AI Outputs: Evaluate AI-generated thermodynamic proofs, CAD logic, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.).
• Sharpen AI Reasoning: Identify logical errors — incorrect force distributions, energy conservation violations, flawed assumptions — and provide structured feedback to improve how the model thinks through problems.
• Document Failure Modes: Systematically record how and where AI falls short so that research teams can harden model performance over time.

• Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Deep foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex physical phenomena and mathematical reasoning clearly in writing
• Exceptionally detail-oriented — you catch unit errors, invalid assumptions, and subtle logical gaps
• Self-directed and comfortable working independently in an async, remote environment
• No prior AI experience required

• Experience with data annotation, technical writing, or evaluation systems
• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with AI or language model workflows

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work when and as much as you want within 10–40 hrs/week
• Gain rare, first-hand exposure to how advanced LLMs are trained and evaluated
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Potential for ongoing work and contract extension as projects grow