Electrical Engineer with Python Proficiency - AI Trainer

Job Description

Electrical Engineering (Python) - AI Model Evaluator

Location: Austin, TX

• Remote (Talent Pool)
  
  

Role Summary

Design and evaluate complex electrical engineering problems for frontier AI models, using simulation tools and Python to test and improve AI performance. This is a project-based role for deep technical problem-solving.

Key Responsibilities

• Select appropriate electrical engineering simulation packages (e.g., ngspice, scikit-rf, python-control, pandapower) and create problems that require these tools.
• Develop complete Python solutions with necessary netlist files and circuit definitions.
• Set correct numerical output and define acceptance tolerances.
• Run problems against AI models across multiple attempts, analyzing success/failure rates (target: 10-30% pass rate).
• Iteratively tune circuit topologies, operating conditions, and solver parameters.
• Hand off tasks to senior reviewer and refine based on feedback.
  
  

Core Requirements

• Academic background in Electrical Engineering or related field.
• At least 2 years of hands-on experience in engineering research, applied work, or teaching.
• Solid Python skills for writing and validating computational solutions.
• Ability to build problems requiring specialized simulation software.
• Excellent written and verbal English communication skills.
• Ability to work independently in a remote, fast-paced environment.
  
  

Nice-to-Have

• Working knowledge of ngspice, scikit-rf, python-control, pandapower, PyPSA, or similar tools.
• Prior exposure to how frontier AI models handle complex simulation tasks.
• Knowledge spanning multiple engineering domains (circuit analysis, control systems, power systems).
• Familiarity with containerized or sandboxed Linux execution environments.
  
  

Note: Only shortlisted candidates will be contacted. AI tools may be used in the hiring process; final decisions are made by humans.