Engineering Assessment Specialist

Join a dynamic team of expert engineers dedicated to shaping the future of AI research through the development of high-quality academic assessment content. In this role, you will be responsible for authoring and reviewing rigorous multiple-choice questions across various engineering domains, evaluating solution quality, and contributing to the establishment of gold-standard benchmarks that enhance AI capabilities.

• Author original engineering questions that assess deep conceptual understanding rather than surface-level recall.
• Ensure questions are unambiguous, self-contained, and precisely defined, with all necessary information included in the problem statement.
• Rate each question''s difficulty as Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above).
• Provide one correct answer and nine plausible but subtly incorrect alternatives that challenge expert-level solvers.
• Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format.
• Supply one to five academic references per question from reputable sources, such as peer-reviewed journals or university repositories.
• For verification tasks, identify issues with clarity, completeness, precision, or solvability, and justify any edits made.

This role encompasses a variety of engineering fields, including:

• Mechanical & Thermal Engineering
• Electrical Engineering
• Aerospace Engineering
• Materials Science & Engineering
• Industrial & Systems Engineering
• Civil Engineering
• Miscellaneous Engineering

• PhD or doctoral candidate in Engineering or a closely related field.
• Master''s degree may be considered for candidates with exceptional depth in a specific subdomain.
• Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards.
• Professional engineering licensure (PE) or relevant industry experience is a strong plus.
• Excellent written English skills with the ability to express complex ideas clearly and concisely.

Expected commitment: 10+ hours per week. This is an asynchronous, fully remote position.

Hourly compensation ranges from $35 to $75.