Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Mechanical Engineering
Remote (Global)
$35 – $60/hr
July 14, 2026
Job description
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 fluid dynamics, thermodynamics, structural mechanics, and more.
This is a unique opportunity to step beyond traditional engineering work and influence the next generation of AI technology — all from wherever you work best.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Engineering Problems — Craft complex, domain-specific challenges across FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that teach AI how to reason correctly through engineering problems
- Audit AI Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
- Identify & Correct Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve AI reasoning
Who You Are
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong foundational expertise in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical concepts and mathematical derivations clearly in written form
- Highly detail-oriented — precise with mathematical derivations, unit conversions, and physical system constraints
- No prior AI experience required
Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with evaluating computational simulations or AI-generated workflows
Why Join Us
- Work on genuinely cutting-edge AI projects with top-tier research labs
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with meaningful, intellectually stimulating work
- Contribute to AI systems that will impact engineering and science globally
- Potential for ongoing work and contract extension
Apply now
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