Evaluate AI-generated mechanical designs and calculations with strong engineering fundamentals and technical writing skills. Work fully remotely on versatile, project-based assignments.

DataAnnotation, in partnership with Brunel, seeks experienced engineers to establish benchmarks for AI engineering performance. This independent contractor work focuses on identifying technical errors, testing real-world applicability, and comparing competing solutions. Relevant disciplines include mechanical design, CAD, materials, thermal and fluid systems, dynamics, controls, manufacturing, and related fields.

Key Responsibilities:

- Assess AI-generated mechanical engineering analysis for accuracy
- Compare solutions and identify strengths, weaknesses, and errors
- Review calculations, technical documentation, and proposed designs




- Explain incorrect assumptions, unit errors, and unrealistic results
- Review contributors’ problems and solutions for rigor

Requirements:
- At least two years of professional engineering experience
- Current, in-progress, or completed relevant Bachelor’s degree
- Ability to explain why engineering answers are incorrect
- Attention to edge cases and potential failure modes
- Relevant CAD, FEA, CFD, MATLAB, or Python experience

Bring careful engineering evaluation, failure analysis, and technical communication to DataAnnotation’s mechanical AI training program.

#J-18808-Ljbffr

📌 Mechanical Engineering Ai Evaluation Specialist (Toronto)
🏢 Brunel
📍 Toronto