Shape the future of AEC tools by defining real-world tasks and building datasets as a Domain Expert in Residence.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
helping AEC teams across tasks like drawing reviews, takeoffs, code compliance, RFIs, submittals, specs, QA/QC, coordination, and project documentation.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Domain Expert in Residence at Nomic AI, the individual will actively engage in defining and refining real-world tasks for AI agents within the Architecture, Engineering, and Construction (AEC) sectors. This position requires a strong background in AEC practices, with a focus on creating high-quality datasets and evaluation criteria to enhance AI performance. Ideal candidates will have over six years of relevant experience and a keen interest in how AI can transform industry workflows. The role emphasizes collaboration with product and engineering teams to ensure that AI tools align closely with actual project demands.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Nomic AI's career page.
- Nomic AI has 9 other open roles including Sales Development Representative , Software Engineer, Revenue Systems , Senior Software Engineer.
- 5149 active AI/ML roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2240 roles). See AI/ML salary trends
Quick facts
- How much experience is required?
- At least 6 years of relevant experience for this Domain Expert in Residence role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- What seniority level is this role?
- Nomic AI targets senior candidates for this position.
- Is this full-time or contract?
- Part-time for this Domain Expert in Residence role at Nomic AI.
From the original posting
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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