Remote Electrical Engineer — AI Training Content Specialist

SaidGig; New York (NY); À distance; USD 83 000 - 110 000; Temps partiel

Résumé du poste

SaidGig is seeking an electrical engineering educator to remotely develop and review instructional content for next-generation AI systems. You will create single-answer MCQs and detailed rubrics, review AI-generated material for accuracy, and provide written feedback to improve training data quality.

This remote contract role emphasizes clear communication, independent work, and timely milestone-driven delivery, with compensation per completed task.

Qualifications

• Advanced degree in Electrical Engineering or related field (preferred).
• Expertise in analog or digital circuits, RF, power electronics, or ICs.
• Experience creating educational content or developing rubrics.
• Teaching or tutoring experience is a plus.
• Excellent written and verbal communication with instructional clarity.
• Ability to work independently and collaborate asynchronously.

Responsabilités

• Create high-quality single-answer MCQs in electrical engineering.
• Develop clear explanations and detailed scoring rubrics.
• Review AI-generated EE content for technical accuracy and value.
• Provide actionable feedback on AI performance using SME input.
• Collaborate asynchronously to improve question quality and standards.
• Communicate technical concepts clearly in writing and verbally.
• Contribute to workflows improving AI training data relevance.

Connaissances

Electrical engineering

Technical writing

Asynchronous collaboration

Education content design

Formation

Master's degree or PhD in Electrical Engineering

Outils

Rubrics design

Description du poste

SaidGig is seeking an electrical engineering educator to remotely develop and review instructional content for next-generation AI systems. You will create single-answer MCQs and detailed rubrics, review AI-generated material for accuracy, and provide written feedback to improve training data quality.

This remote contract role emphasizes clear communication, independent work, and timely milestone-driven delivery, with compensation per completed task.