Mechanical Engineering Expert – AI Content Specialist
About The Role
What if your engineering knowledge could help shape the next generation of AI At Alignerr, we partner with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need real engineers to make it happen.
As a Mechanical Engineering Expert, you'll put your deep domain knowledge to work by designing complex engineering problems, authoring gold-standard solutions, and auditing AI reasoning across fluid dynamics, thermodynamics, structural mechanics, and more. Your expertise becomes the benchmark that cutting-edge AI is trained against.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week, on your schedule
What You'll Do
- Design Challenging Problems — Craft advanced mechanical engineering problems across domains including FEA, heat transfer, kinematics, material science, and mechatronics to probe the limits of AI performance
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions and golden responses that serve as benchmarks for AI learning
- Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
- Sharpen AI Reasoning — Identify logical errors in AI outputs — such as incorrect force distributions or energy conservation violations — and provide structured, actionable feedback to improve model reasoning
Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Domain Expertise: Strong foundational knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Analytical Communicator: Able to translate complex physical phenomena and mathematical concepts into clear, precise written explanations
- Detail-Oriented: High precision when reviewing mathematical derivations, unit conversions, and physical system constraints
- No AI experience required — if you know your engineering, we'll handle the rest
Nice to Have
- Prior experience with data annotation, data quality, or evaluation workflows
- Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with evaluating AI-generated code or computational workflows
Why Join Us
- Work on cutting-edge AI projects alongside top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Gain firsthand exposure to how advanced large language models (LLMs) are trained and evaluated
- Potential for ongoing work and contract extension
