AI Engineering Trainer for Electrical Systems & Circuits

Planet Pharma

Chicago (IL)

On-site

GBP 42,000 - 60,000

Full time

20 hours ago
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Job summary

Planet Pharma is seeking an Electrical Engineer to review AI-generated circuit designs, calculations, and engineering analyses and to provide rigorous feedback. You will evaluate schematics, simulations, and component selections while developing grading criteria and acceptance tests.

The role focuses on identifying design risks and offering grounded technical recommendations within a global staffing framework.

Qualifications

  • 2+ years of professional experience in Electrical or Electronics Engineering.
  • Bachelor's degree or higher in Electrical Engineering or a related field.
  • Strong experience in at least one of: 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
Circuit simulation
Analog & mixed-signal design
Embedded systems & controls
Python or MATLAB

Education

Bachelor's degree in Electrical Engineering

Tools

SPICE
PCB design tools
MATLAB
Python

Job description

Planet Pharma is seeking an Electrical Engineer to review AI-generated circuit designs, calculations, and engineering analyses and to provide rigorous feedback. You will evaluate schematics, simulations, and component selections while developing grading criteria and acceptance tests.

The role focuses on identifying design risks and offering grounded technical recommendations within a global staffing framework.

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