Energy Expert

Anyone AI Inc.; Argentina; Remote; ARS 69,132,000 - 98,461,000; Part time

Benefits offered by this job

Remote work

Up to $40/hr

2-month project

Job summary

Anyone AI Inc. seeks experts in Energy Engineering and Energy Systems to design rigorous, deterministic problems for frontier AI training and evaluation. Each problem must have exactly one verifiable correct answer and be submitted with a complete, verified solution.

Work is remote, contract/part-time for 20 hours per week, with compensation up to 40 USD per hour. The project runs for 2 months, with potential extension, and will involve scenarios spanning renewable energy, power generation,

Qualifications

• Master’s or PhD in Energy Engineering, Electrical Engineering, Mechanical Engineering, Energy Systems, or related field.
• Strong research or industry experience in energy systems, renewable technologies, power systems, energy modeling or energy optimization.
• Strong quantitative, mathematical, and computational skills.
• Excellent attention to detail and technical writing in English.

Responsibilities

• Design advanced energy engineering and energy systems problems for frontier AI training and evaluation.
• Create deterministic problems with exactly one correct answer and complete, verified solutions.
• Develop scenarios involving renewable energy, power generation, storage, grids, energy efficiency, thermodynamics, or energy economics.
• Use Python, MATLAB, optimization software, or energy modeling tools to validate solutions.
• Ensure outputs are technically precise, reproducible, and well‑written in English.

Skills

Quantitative analysis

Mathematical modeling

Computational skills

Technical writing

Education

Master's or PhD in Energy Engineering

Tools

Python

MATLAB

Energy modeling tools

Optimization software

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