Evaluate AI-generated mechanical designs and calculations with robust engineering fundamentals and technical writing skills. Work fully remotely on flexible, 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 (Ontario)
🏢 Brunel
📍 Ontario