Domain Expert in Residence
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 6+ years required
- Where you can live
- US only
- Skills and tools
- project management, documentation, compliance, qa
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 6+ years required
- Employer publication date
- 17 February 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
About Nomic
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.
About the Role
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.
What You’ll Do
- 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
Who You Are
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 Have
- 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
Why This Role Is Different
- You’ll help define how AI supports real AEC workflows
- Your expertise will directly shape products used by real firms
- You’ll work closely with product and ML teams
- You’ll influence the next generation of tools for your profession
Compensation
- Competitive compensation based on experience
- Equity for full-time roles
- Flexible part-time options for specialists
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