Civil Engineering Expert

Anyone AI; Buenos Aires; Presencial; ARS 49.921.000 - 83.202.000; Jornada completa

Descripción de la vacante

Anyone AI is seeking experts in Civil Engineering to design rigorous, deterministic problems that test and improve reasoning in cutting-edge AI models.

This is a remote, contract/part-time role offering up to 40 USD per hour for about 20 hours per week, for a two-month project with a potential extension.

You will develop problems spanning structural analysis, geotechnical engineering, hydraulics, transportation, and infrastructure, with complete, verified solutions written in English.

Formación

• Advanced degree in Civil Engineering.
• Strong research or industry experience in structural, geotechnical, transportation, hydraulic, or infrastructure engineering.
• Excellent attention to detail and technical writing skills in English.

Responsabilidades

• Design advanced civil 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 structural analysis, geotechnical engineering, hydraulics, transportation, construction, or infrastructure systems
• Create problems that require multi-step engineering reasoning rather than simple formula application
• Where relevant, use Python, MATLAB, structural analysis software, or other engineering tools to validate solutions
• Ensure all outputs are technically precise, reproducible, and well-written in English

Conocimientos

Engineering problem solving

Quantitative modeling

Technical writing

Research experience

Educación

Master’s degree in Civil Engineering

PhD in Civil Engineering

Herramientas

SAP2000

ETABS

STAAD.Pro

PLAXIS

Civil 3D

MATLAB

Python

Descripción del empleo

Help shape the future of AI by designing challenging civil 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

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 Civil 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 civil 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 structural analysis, geotechnical engineering, hydraulics, transportation, construction, or infrastructure systems
• Create problems that require multi-step engineering reasoning rather than simple formula application
• Where relevant, use Python, MATLAB, structural analysis software, or other 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 Civil Engineering or a closely related field
• Strong research or industry experience in structural, geotechnical, transportation, hydraulic, construction, or infrastructure engineering
• Strong quantitative modeling and engineering problem-solving skills
• Solid understanding of engineering mechanics, numerical methods, and technical standards
• Ability to design original, difficult problems that reflect realistic civil engineering workflows
• Excellent attention to detail and technical writing skills in English

Nice to have

• Experience with SAP2000, ETABS, STAAD.Pro, PLAXIS, Civil 3D, MATLAB, Python, or similar tools
• Background in structural simulation, finite element analysis, infrastructure modeling, or engineering optimization
• Experience evaluating technical work, developing assessments, or creating engineering educational content