Alignerr
Mechanical Engineering
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Mechanical Engineering
Mechanical Engineering — AI Trainer
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 to make it happen. Your deep domain knowledge will directly shape how AI reasons through complex engineering problems, from fluid dynamics and thermodynamics to structural mechanics and FEA.
This is a rare opportunity to contribute to cutting-edge AI development while working fully remote on your own schedule.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
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Design advanced engineering problems — craft challenging, domain-specific problems across areas like:
- Finite Element Analysis (FEA)
- Heat transfer
- Kinematics
- Fluid mechanics
- Materials science To rigorously test AI performance.
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Author gold-standard solutions — develop precise, step-by-step technical solutions and benchmark responses that AI models learn from and are evaluated against.
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Audit AI reasoning — evaluate AI-generated outputs including:
- CAD logic
- Thermodynamic derivations
- Material specifications For technical correctness, safety, and compliance with engineering standards (e.g., ASME, ISO).
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Sharpen model thinking — identify and document logical errors in AI reasoning (e.g. incorrect force distributions, energy conservation violations, or flawed material assumptions) and provide structured feedback to improve model accuracy.
Who You Are
- Advanced Degree: Currently pursuing or holding a Master’s or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
- Strong Domain Knowledge: Solid foundational expertise in one or more of:
- Solid mechanics
- Fluid mechanics
- Thermodynamics
- CAD/CAM
- Manufacturing processes
- Clear Technical Communicator: Able to translate complex physical phenomena and mathematical reasoning into clear, precise written explanations.
- Detail-Oriented: Rigorous approach to checking:
- Mathematical derivations
- Unit conversions
- Physical system constraints
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Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with engineering software such as:
- SolidWorks
- MATLAB
- ANSYS
- Background in academic or professional technical writing
Why Join Us
- Work directly on frontier AI projects with top research labs
- Fully remote and async — work when and where it suits you
- Meaningful, intellectually stimulating work that uses your engineering expertise
- Freelance autonomy with real impact on how AI understands the physical world
- Potential for ongoing work and contract extension
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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