Mechanical Engineering - AI Data Trainer

Mechanical Engineering - AI Data Trainer

This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$35.00/hr - $60.00/hr

At Alignerr, we partner with world’s leading AI research teams and labs to build and train cutting‑edge AI models.

You’ll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.

Alignerr
• Position:
Mechanical Engineering - AI Data Trainer
• Type:
Hourly Contract
• Compensation: $35–$60 /hour
•

Location:

Remote
• Commitment: 10–40 hours/week

• Develop complex problems: design advanced mechanical engineering problems across domains such as FEA, 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.

• 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.

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

• 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.

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

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