Electrical Engineer with Python - AI Trainer - Remote

We're building a talent pool of Electrical Engineering professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models. Designed for electrical engineers who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as ngspice, scikit-rf, python-control, or pandapower, with verifiable, code-graded answers run inside isolated Linux environments. Key Responsibilities Identify an appropriate electrical engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether solvers, simulation kernels, or domain-specific models. Develop full Python solutions for each problem, providing all necessary netlist files and circuit definitions as required. Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the engineering context. Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%. Tune circuit topologies, operating conditions, and solver parameters iteratively, building an understanding of how the model navigates complex circuit, control, and power systems problems. Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission. Core Requirements Academic background in Electrical Engineering or a closely related field. At least 2 years of hands-on experience in engineering research, applied work, or teaching. Solid Python skills, applied to writing and validating computational solutions. Capacity to build problems that cannot be solved without specialized simulation software. Excellent written and verbal communication skills in English. Ability to work independently in a remote, fast-paced environment. Nice-to-Have Working knowledge of one or more domain-specific electrical engineering tools, including but not limited to ngspice, scikit-rf, python-control, pandapower, or PyPSA, or a demonstrated ability to get up to speed independently. Prior exposure to how frontier AI models approach complex simulation tasks. Knowledge spanning more than one engineering domain, such as circuit analysis, control systems, or power systems. Familiarity with containerized or sandboxed Linux execution environments. The icing on the Kake: 💵 Competitive Pay in USD – Work globally, get paid globally. 🏡 Fully Remote – Simply put, we trust you. 🌱 Better Me Fund – We invest in your personal growth and passions. ❤️ Compassion is Badass – Join a community that invests in social good. Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

Identify appropriate electrical engineering simulation packages and build problems that leverage their core capabilities. Develop Python solutions, analyze AI model performance, and refine tasks based on feedback.

Candidates should have an academic background in Electrical Engineering and at least 2 years of relevant experience. Solid Python skills and the ability to create problems requiring specialized simulation software are essential.

• Competitive Pay • Fully Remote • Better Me Fund • Community Investment in Social Good

Identified from the job description. Confirm important requirements above.

• Electrical Engineering
• Python
• Simulation
• AI Development
• Problem Solving
• Communication
• Linux
• Circuit Analysis
• Control Systems
• Power Systems
• ngspice
• scikit-rf
• python-control
• pandapower
• PyPSA

• Engineering
• Technology
• Science & Research
• Data & Analytics
• Software

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level