Expert in Residence
About The Position
Nomic builds domain-specific AI agents for the built world — helping Architecture, Engineering, and Construction (AEC) teams across tasks like drawing reviews, takeoffs, code compliance, RFIs, submittals, specs, QA/QC, coordination, and project documentation. Our goal is to build AI systems that reflect how AEC work is actually done in practice—grounded in real workflows, real constraints, and real project complexity. We’re launching a Domain Experts in Residence (DEIR) program to embed experienced AEC practitioners directly into how our AI agents and workflows are designed, evaluated, and shipped. This is not a traditional advisory role. As a Domain Expert in Residence, you’ll be hands-on in defining real-world AEC tasks, building datasets, and shaping evaluation criteria that determine how our agents perform across the project lifecycle. This role is ideal for practitioners who want to shape the future of tools used by their profession.
Requirements
- 6+ years of professional experience in one or more of: Architecture Structural Engineering MEP Engineering Construction / Project Management QA/QC or Code Compliance
- Deep familiarity with real AEC workflows and project deliverables
- Comfortable articulating how work is actually done in practice
- Curious about AI tools and automation (no ML background required)
- Motivated to shape the future of AEC tooling
Nice To Haves
- Experience with QA/QC processes or design reviews
- Familiarity with building codes (IBC, ADA, NFPA, local codes)
- Experience writing standards, checklists, or internal review frameworks
- Interest in product development
Responsibilities
- Define real-world AEC task specifications for AI agents (e.g., drawing reviews, code compliance, RFIs, submittals, spec review, QA/QC, coordination)
- Create and label gold-standard datasets from real project artifacts (drawings, specs, RFIs, submittals)
- Design evaluation rubrics for agent outputs (severity, discipline, correctness, usefulness)
- Co-design default workflows that ship to customers
- Pressure-test agents against real-world project scenarios and common failure modes
- Partner closely with product, ML, and engineering teams to translate domain practice into scalable AI systems
Benefits
- Competitive compensation based on experience
- Equity for full-time roles
- Flexible part-time options for specialists
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
