Anyone Ai

Energy Expert

Argentina - Fully Remote. Posted 2 months ago

The role

Design challenging energy systems problems to test and improve reasoning in frontier AI models. Create deterministic problems with one correct answer and provide verified solutions.

What you will do

  • Design advanced energy engineering and energy systems problems for frontier AI training and evaluation
  • Create deterministic problems with exactly one correct answer
  • Write complete, verified solutions and clearly document the reasoning process
  • Develop problems involving renewable energy, power generation, storage, grid systems, energy efficiency, thermodynamics, or energy economics
  • Create scenarios requiring quantitative analysis of complex energy systems
  • Use Python, MATLAB, optimization software, or energy modeling tools to validate solutions
  • Ensure all outputs are technically precise, reproducible, and well-written in English

Required qualifications

  • Master’s or PhD in Energy Engineering, Electrical Engineering, Mechanical Engineering, Energy Systems, or a closely related field
  • Strong research or industry experience involving energy systems, renewable technologies, power systems, energy modeling, or energy optimization
  • Strong quantitative, mathematical, and computational skills
  • Solid understanding of energy conversion, system efficiency, optimization, and technical modeling
  • Ability to design original, difficult problems that mirror real energy engineering workflows
  • Excellent attention to detail and technical writing skills in English

Nice to have

  • Experience with Python, MATLAB, HOMER, EnergyPlus, PyPSA, PLEXOS, OpenDSS, or similar energy modeling tools
  • Background in renewable energy integration, batteries, grid optimization, power markets, or decarbonization
  • Experience designing technical assessments, benchmarks, or computational energy models

About the company

anyone-ai creates high-quality STEM training data for frontier AI models used in training and evaluation pipelines at leading AI labs.