Electrical Engineer with Python Proficiency - AI Trainer

Job DescriptionElectrical Engineering (Python) - AI Model EvaluatorLocation: Austin, TX Remote (Talent Pool)Role SummaryDesign 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 ResponsibilitiesSelect 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 RequirementsAcademic 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-HaveWorking 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.