Mechanical Engineering AI Evaluation Specialist

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

Data Annotation, 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.

• 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

• 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 Data Annotation’s mechanical AI training program.