Help shape the future of AI by designing challenging energy systems problems that test and improve reasoning in cutting-edge models.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experts in Energy Engineering and Energy Systems to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
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
Where relevant, use Python, MATLAB, optimization software, or energy modeling tools to validate solutions
Ensure all outputs are technically precise, reproducible, and well-written in English
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
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