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Energy Expert

Role overview

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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Detail Oriented

About the company

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Anyone AI

  • Vocational Training & Bootcamps
  • 11–50
We invest in talent from Latam to bridge the talent gap in AI. Join our AI community: www.anyoneai.com We are AI / ML experts and second-time entrepreneurs, members of the founding team at Deep Vision AI (acquired in early 2020). We've worked with many Fortune 500 companies completing multiple projects in the early days of AI while leveraging remote talent from LatAm. We are VC-backed from day 1 by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, Canva, Trivago, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm including investments in QuintoAndar, La Haus, Clara, Platzi, OnTop, Pomelo, etc), among other investors.

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Job description

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

About the role

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.

What you’ll 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

  • 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

What we’re looking for

  • 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

  

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