Architectural Engineering Expert

Anyone AI Inc.

United States

A distancia

USD 39.000 - 55.000

A tiempo parcial

14 días+
Generador de candidaturas

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Descripción de la vacante

Anyone AI Inc. is seeking experts in Architectural Engineering to design challenging, deterministic problems for frontier AI training. You will craft problems with exactly one verifiable answer and provide complete, verified solutions written in clear English.

The role is remote, contract/part-time at ~20 hours per week for 2 months, with potential extension. Projects involve building systems, structural design, energy performance, and related engineering topics, using BIM or simulations as

Formación

  • Master’s or PhD in Architectural Engineering or closely related field.
  • Strong background in building systems, energy performance, or design.
  • Excellent technical writing and attention to detail.
  • Ability to design original, difficult, real-world problems.

Responsabilidades

  • Design advanced architectural engineering problems for AI training and evaluation.
  • Create deterministic problems with a single correct answer.
  • Write complete, verified solutions and document the reasoning process.
  • Develop scenarios involving building systems, HVAC, lighting, acoustics, or energy performance.
  • Validate solutions using BIM, energy simulations or engineering tools.

Conocimientos

Quantitative skills
Technical writing
Attention to detail
English proficiency

Educación

Master’s or PhD in Architectural Engineering or Building Engineering

Herramientas

Revit
AutoCAD
EnergyPlus
Rhino/Grasshopper
OpenStudio
MATLAB
Python

Descripción del empleo

Help shape the future of AI by designing challenging architectural engineering 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

  • Availability: Immediate start

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 Architectural Engineering 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 architectural engineering 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 building systems, structural design, HVAC, lighting, acoustics, energy performance, or building physics

  • Create scenarios requiring integration across architectural and engineering constraints

  • Where relevant, use computational modeling, BIM, energy simulation, or engineering 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 Architectural Engineering, Building Engineering, or a closely related field

  • Strong research or industry experience involving building systems, structural systems, energy performance, or building design

  • Strong quantitative and technical problem-solving skills

  • Solid understanding of building physics and integrated building systems

  • Ability to design original, difficult problems that mirror real architectural engineering workflows

  • Excellent attention to detail and technical writing skills in English

Nice to have
  • Experience with Revit, AutoCAD, EnergyPlus, Rhino/Grasshopper, IES VE, OpenStudio, MATLAB, Python, or similar tools

  • Background in sustainable building design, energy modeling, structural analysis, or computational design

  • Experience with BIM workflows, engineering standards, technical assessment design, or model evaluation

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