Job Description
Role Title: Architect CAD & Construction Documentation
Role Type: Contract
Location: Remote
Scope Of Work
Create detailed floor plans and elevation sets based on project requirements
Develop comprehensive CAD drawings for architectural and engineering purposes
Prepare accurate Geometric Dimensioning and Tolerancing (GD&T) callouts for manufacturing documentation
Produce and annotate multi-sheet electrical schematics to industry standards
Design and review PCB layouts, integrating best practices for manufacturability and functionality
Collaborate through exchanges to clarify requirements and resolve technical questions
Deliver thorough documentation packages consistent with project milestones and quality expectations
Preferred Qualifications
Minimum of 3 years of recent experience in architectural CAD and construction documentation
Proficiency with industry-standard tools for 2D/3D CAD and PCB layout design
Proven ability to generate and interpret GD&T callouts and complex schematic diagrams
Experience developing multi-sheet electrical schematics and integrating PCB layouts within building projects
Strong attention to detail and organizational skills for managing multi-document sets
Advanced communication skills in English
Background in collaborating on remote, cross-functional projects is a plus
YO IT Consulting is a fast-growing AI Data Services company that delivers high-quality training data for some of the world's largest AI companies and foundation-model labs. The company specializes in creating and curating specialized content across multiple domains—including biology, mechanical engineering, copywriting, and other technical fields—to train and improve advanced AI models and foundation models. They work with a distributed network of remote domain experts and subject matter specialists who review AI-generated outputs, create gold-standard training content, and ensure data quality across their projects. The company's mission is to improve the world's premier AI models by providing accurate, logically sound, and well-reasoned training data that enhances model performance across diverse applications.
