Alignerr is partnering with leading AI research labs to enhance AI models through mechanical engineering expertise. As a Mechanical Engineering Expert, you will design complex engineering problems and author expert-level solutions to improve AI reasoning across various domains such as fluid dynamics and thermodynamics.
Responsibilities:
- 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
Requirements:
- 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