Remote Civil Engineer for AI Evaluation Tasks

YO AI Labs; San Jose (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

YO AI Labs is seeking experienced Civil Engineers to contribute to a high-impact project focused on AI evaluation. You will create realistic civil engineering tasks, curate technical materials, and evaluate AI outputs, with no prior AI experience required.

Responsibilities include developing evaluation rubrics, validating datasets, and collaborating with project teams to improve task quality and realism. This role emphasizes strong documentation and regulatory awareness.

Qualifications

• Proven civil engineering experience with code compliance and regulatory interpretation.
• Experience creating and reviewing engineering drawings, reports and datasets.
• Strong written communication and documentation skills.
• PE license or active pursuit preferred.

Responsibilities

• Create realistic evaluation tasks across structural design, transportation, water systems, and site development.
• Develop and curate technical materials such as drawings, reports, specifications, and cost estimates.
• Create complex problems requiring constraint reasoning and code compliance.
• Determine engineering solutions considering technical and regulatory requirements.
• Develop detailed rubrics assessing technical accuracy and code adherence.
• Create and validate CSVs, PDFs, spreadsheets, and datasets.
• Collaborate with project teams to improve task quality, clarity, and realism.

Skills

Code Compliance

Civil Engineering

Technical Documentation

Constraint Reasoning

Engineering Design

Regulatory Code Interpretation

Technical Analysis

Engineering Documentation

Data Validation

Job description

YO AI Labs is seeking experienced Civil Engineers to contribute to a high-impact project focused on AI evaluation. You will create realistic civil engineering tasks, curate technical materials, and evaluate AI outputs, with no prior AI experience required.

Responsibilities include developing evaluation rubrics, validating datasets, and collaborating with project teams to improve task quality and realism. This role emphasizes strong documentation and regulatory awareness.