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. If you have deep expertise in fluid dynamics, thermodynamics, structural mechanics, or related fields, this is your opportunity to directly influence how the next generation of AI reasons through complex engineering problems.
This is a fully remote, flexible contract role where your domain knowledge becomes the benchmark for AI performance.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
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Design Challenging Problems — Create advanced mechanical engineering problems spanning:
- FEA (Finite Element Analysis)
- Heat transfer
- Kinematics
- Material science
- Mechatronics — to rigorously stress-test AI capabilities.
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Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and "golden responses" that serve as benchmarks for AI learning and evaluation.
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Audit AI Reasoning — Review AI-generated outputs including:
- CAD logic
- Thermodynamic proofs
- Material specifications
for technical accuracy, safety compliance, and adherence to engineering standards (e.g., ASME, ISO).
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Refine Model Thinking — Identify flawed reasoning in AI outputs, such as:
- Incorrect force distributions
- Violations of energy conservation
- Faulty kinematic assumptions
and provide structured, actionable feedback to improve model performance.
Who You Are
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Advanced Degree — Masters (pursuing or completed) or PhD in:
- Mechanical Engineering
- Aerospace Engineering
- Or a closely related discipline.
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Deep Domain Knowledge — Strong foundational expertise in one or more of:
- Solid mechanics
- Fluid mechanics
- Thermodynamics
- CAD/CAM
- Manufacturing processes
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Clear Technical Communicator — Ability to explain complex physical phenomena and mathematical reasoning in concise, well-structured written form.
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Precision-Oriented — High attention to detail when reviewing:
- Mathematical derivations
- Unit conversions
- Physical system constraints
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No prior AI experience required — we’ll bring you up to speed.
Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Proficiency with engineering software such as:
- SolidWorks
- MATLAB
- ANSYS
- Familiarity with AI systems or large language model evaluation
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs
- Fully remote and async — work on your own schedule, wherever you are
- Freelance perks:
- Autonomy
- Flexibility
- Collaboration with a global expert community
- Make a real impact — your engineering expertise directly shapes 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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