Mechanical Engineering

Job summary

Create challenging mechanical engineering problems and rigorous solutions to benchmark and improve AI reasoning. Evaluate AI-generated engineering outputs for accuracy, safety, and standards compliance, then document errors and provide structured feedback.

Job details

Mechanical Engineering AI Trainer About The Role We partner with the world's leading AI research labs to build smarter, more capable AI systems — and we need mechanical engineers to make it happen. As an AI Trainer, you'll use your deep technical expertise to challenge, evaluate, and improve how advanced language models reason through complex engineering problems. This is a unique opportunity to work at the frontier of AI development without leaving your home office. Your knowledge of fluid dynamics, thermodynamics, structural mechanics, and more will directly shape the next generation of AI. 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 reasoning Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with standards like ASME and ISO Refine AI Reasoning — Identify logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve model performance Document Failure Modes — Systematically record where and how AI reasoning breaks down so research teams can harden model capabilities Who You Are Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field Strong foundational expertise in solid mechanics, fluid mechanics, CAD/CAM, thermodynamics, or manufacturing processes Able to communicate complex physical phenomena and technical derivations clearly in writing Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints Self-motivated, reliable, and comfortable working independently on a flexible schedule No prior AI experience required Nice to Have Experience with data annotation, evaluation systems, or quality assurance workflows Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS Familiarity with how large language models reason or are trained Why Join Us Work on genuinely cutting-edge AI projects alongside top research labs Fully remote and flexible — choose your own hours and workload Gain rare, hands-on exposure to how advanced LLMs are built and trained Freelance autonomy with the backing of a mission-driven team Potential for ongoing work and contract extension

What you’ll do

Create challenging mechanical engineering problems and rigorous solutions to benchmark and improve AI reasoning. Evaluate AI-generated engineering outputs for accuracy, safety, and standards compliance, then document errors and provide structured feedback.

Requirements

Applicants must hold or be pursuing a master's or PhD in mechanical engineering, aerospace engineering, or a closely related field, with strong foundational expertise in relevant engineering disciplines. They must communicate technical concepts clearly in writing, work precisely and independently, and be reliable on a flexible schedule; prior AI experience is not required.

Benefits

• Flexible Schedule
• Remote Work
• Freelance Autonomy
• Potential for Ongoing Work and Contract Extension
• Exposure to AI Development and Training

Listed skills

• Quality assurance · Preferred
• SolidWorks · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Mechanical Engineering
• Solid Mechanics
• Fluid Mechanics
• Thermodynamics
• Finite Element Analysis
• Heat Transfer
• Kinematics
• Materials Science
• Mechatronics
• CAD/CAM
• Manufacturing Processes
• Technical Writing
• AI Output Evaluation
• Quality Assurance
• SolidWorks
• MATLAB

Job areas

• Engineering
• Technology
• Science & Research
• Education

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