Electrical Engineer

If you are an electrical engineer who thrives on technical precision, applied problem-solving, and rigorous reasoning across circuits, power, and systems, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex electrical engineering concepts. We are looking for electrical engineering specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise as an Electrical Engineer will directly help improve the world’s premier AI models—and play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.

Your profile

• 4+ years of professional electrical engineering experience, with significant hands-on work in one or more areas such as power systems, power electronics, industrial controls, embedded systems, analog/digital circuit design, RF/communications, signal processing, instrumentation, automation, electronics manufacturing/test, or a closely related specialty.
• Deep knowledge of electrical engineering fundamentals, including circuit analysis, electronics, electromagnetics, signals & systems, control fundamentals, and safe engineering practices (grounding, isolation, protection, EMC/EMI).
• Strong comfort with engineering calculations, assumptions, constraints, unit consistency, and defensible reasoning (including limitations and safety considerations).
• Bachelor’s degree in Electrical Engineering (or closely related) required; Master’s/PhD, PE/Chartered, or advanced professional certifications strongly preferred.
• Previous experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
• Familiarity with tools/artifacts such as schematics, SPICE simulation, MATLAB/Simulink, PCB design, oscilloscopes/logic analyzers, power studies, or test reports is a plus.

Key responsibilities

• Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across electrical engineering topics.
• Challenge advanced language models with realistic electrical engineering scenarios, calculations, and standards-informed reasoning tasks.
• Review and refine AI-generated prompts, model responses, explanations, and step-by-step solutions (including correct math, units, and assumptions).
• Provide structured feedback that identifies factual errors, unsafe recommendations, missing constraints, invalid assumptions, incorrect modeling, or incomplete reasoning.
• Assess model performance on topics such as: Circuit design/analysis, Power systems, Power electronics, Controls, Embedded & digital, EMI/EMC & safety, Test & troubleshooting
• Help shape AI communication standards for technical EE content, including how models explain assumptions, limits, safety concerns, and professional judgment.
• Ensure AI-generated content reflects responsible engineering practice—especially around electrical safety, compliance, and real-world feasibility.