Electrical Eng AI Trainer: Validate & Refine Circuits

Planet Pharma; Australia; On-site; AUD 85,000 - 120,000; Full time

Job summary

Planet Pharma seeks an engineer to assess AI-generated circuit designs, calculations, simulations, and control-system analyses. You will help train AI systems to reason about real engineering problems and design decisions with rigor and accuracy.

The role involves reviewing schematics, components, and engineering analyses, then developing grading criteria and acceptance tests to guide AI evaluation and improvements.

Qualifications

• 2+ years of professional experience in Electrical or Electronics Engineering.
• Bachelor's degree or higher in Electrical Engineering or a related field.
• Experience with circuit simulation and engineering analysis tools.
• Strong understanding of circuit design, troubleshooting, and system-level tradeoffs.
• Experience in Analog & Mixed-Signal Design, RF & Wireless Systems, Power Electronics, Embedded Systems & Controls, Signal Processing, Electromagnetics & Antennas, Photonics & Optoelectronics, Electric Power & Energy Systems.

Responsibilities

• Design realistic electrical engineering scenarios based on professional experience
• Evaluate AI-generated circuit designs, calculations, and engineering analyses
• Review schematics, simulations, component selections, and technical recommendations
• Develop grading criteria, acceptance tests, and evaluation rubrics
• Identify engineering errors, incorrect assumptions, and design risks
• Provide detailed technical feedback grounded in engineering best practices

Skills

Electrical engineering experience

Circuit design

Troubleshooting

System-level tradeoffs

Education

Bachelor's degree in Electrical Engineering

Tools

SPICE

MATLAB

Python

PCB design tools

Job description

Planet Pharma seeks an engineer to assess AI-generated circuit designs, calculations, simulations, and control-system analyses. You will help train AI systems to reason about real engineering problems and design decisions with rigor and accuracy.

The role involves reviewing schematics, components, and engineering analyses, then developing grading criteria and acceptance tests to guide AI evaluation and improvements.