Electrical Engineer for AI Training

Apply your electrical engineering expertise to create and validate high-quality instructional content that trains and evaluates next-generation AI systems. You will design technical multiple-choice questions, develop clear explanations and rubrics, review AI-generated material for accuracy, and provide actionable feedback to improve model performance. No prior AI experience is required, your domain knowledge and ability to explain concepts clearly are the priority.

• Design and curate single-option multiple-choice questions in your electrical engineering specialty.
• Write concise, accurate explanations and detailed rubrics that align with instructional best practices.
• Review, validate, and correct AI-generated electrical engineering content for technical accuracy and pedagogical value.
• Provide feedback on AI performance, identifying common errors and recommending improvements.
• Document and communicate technical concepts in written and verbal formats for diverse audiences.
• Collaborate asynchronously with project team members to refine question quality and maintain subject matter standards.
• Contribute to an evolving workflow intended to maximize the relevance and clarity of AI training data.

• Bachelor, Master, or PhD in Electrical Engineering or a closely related discipline, Master or PhD preferred.
• Subject matter expertise in at least one of: analog circuits, digital circuits, RF radio frequency, power electronics, or integrated circuits IC.
• Experience creating educational content, designing rubrics, or developing assessments is strongly valued.
• Teaching, tutoring, or facilitation experience in electrical engineering is a significant plus.
• Strong technical writing and verbal communication skills with an emphasis on clarity and instructional value.
• Ability to work independently, meet quality standards, and deliver within project milestones.
• Comfort with remote collaboration and asynchronous communication tools.

• Engagement type, independent contractor.
• Location, remote.
• Output-based work, tasks are assessed against project specifications.
• Minimum submission requirements apply, experts must submit a minimum number of tasks per week.
• Time required per task varies by experience and individual workflow.

• Listed rate range, $60 to $80 per hour.
• Compensation is paid per task that meets the project specifications, actual earnings depend on task volume and completion speed.

• Roles are typically filled within 48 hours of posting.
• If selected, you will complete onboarding and are expected to begin your first tasks within 24 to 48 hours after onboarding is finished.