Electrical Engineering Professor for AI Training

Help shape advanced AI assessment by applying university-level electrical engineering expertise to rigorous graduate-level exam content, model evaluation, and technical feedback. No prior AI experience is required. Role Overview

This remote contract role focuses on developing high-quality electrical engineering training and assessment materials that help evaluate how AI systems reason through complex technical problems.

• Write rigorous, graduate-level single-option multiple-choice questions in your electrical engineering specialty.
• Create detailed solutions and precise grading rubrics aligned with academic assessment standards.
• Review AI-generated electrical engineering content for technical accuracy, clarity, and pedagogical quality.
• Evaluate AI model outputs and provide nuanced feedback on where the reasoning aligns with or differs from human expert reasoning.
• Collaborate asynchronously with other subject matter experts to improve question quality, relevance, and rigor.
• Explain complex technical concepts clearly in writing for exam solutions and instructional content.
• Contribute to an evolving question bank focused on advanced engineering reasoning.

• PhD or advanced Master''s degree in Electrical Engineering, with university-level teaching experience as a professor, adjunct, lecturer, or teaching assistant.
• Experience writing or reviewing graduate-level electrical engineering assessments, examinations, or coursework.
• Deep knowledge in one or more of the following areas: analog circuits, digital circuits, RF, power electronics, and integrated circuits.
• Experience with educational content creation, rubric design, assessment development, or instructional design.
• Excellent technical writing and verbal communication skills, with strong attention to clarity and academic rigor.
• Ability to work independently, meet project milestones, and collaborate effectively in an asynchronous remote environment.

• Remote, independent-contractor engagement.
• Compensation is output-based and paid per task that meets project specifications. Completion time may vary based on experience and workflow.
• Minimum submission requirements apply, including a weekly minimum task-submission requirement.
• Selected candidates should be prepared to begin initial tasks within 24 to 48 hours after completing the required onboarding process.

Advertised rate: $40 to $130 per hour.

Submit an application using an email address or supported account sign-in method. Selected applicants complete the required onboarding steps before beginning their first tasks.