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Mechanical engineering - ai data trainer

Oxford
Permanent
Alignerr
Engineering
€35,000 - €48,203 a year
Posted: 17 January
Offer description

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting- edge AI models. You’ll challenge advanced language models on topics such as fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.


Organization

Alignerr | Position: Mechanical Engineering - AI Data Trainer | Type: Hourly Contract | Compensation: $35–$60 /hour | Location: Remote | Commitment: 10–40 hours/week


What You’ll Do

* Develop Complex Problems: Design advanced mechanical engineering problems across domains such as FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
* Author Ground-Truth Solutions: Create rigorous, step‑by‑step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
* Technical Auditing: Evaluate AI‑generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
* Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model's "thinking" process.


Requirements

* Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
* Domain Expertise: Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
* Analytical Writing: Ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
* Attention to Detail: High level of precision when checking mathematical derivations, unit conversions, and physical system constraints.
* No AI experience required.


Preferred

* Prior experience with data annotation, data quality, or evaluation systems.
* Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.


Why Join Us

* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‑edge AI projects.
* Exposure to advanced LLMs and how they’re trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.


Application Process (Takes 15‑20 min)

* Submit your resume.
* Complete a short screening.
* Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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