Doist

30 jobs near Columbus, OH

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 ...

New

Directeur des Finances

Laval, QC · On-site

$112.50 - $137.50/hr

Entreprise Avec plusieurs décennies d'expérience, notre client est une entreprise internationale de premier plan, spécialisée dans la conception et la distribution mondiale de produits ...

New

Chief Financial Officer

Soldotna, AK · On-site

$150 - $230/hr

Chief Financial Officer (CFO) Location: Soldotna, AK Reports to: Chief Executive Officer (CEO) Department: Finance Job Summary The Chief Financial Officer (CFO) is responsible for overseeing the ...

New

$148.43 - $182.69/hr

Overview Debut is a vertically integrated, AI‑enabled biotech building the next generation of bioactive ingredients for beauty and personal care. We use proprietary datasets and computational ...

New

Software Architect (Auth0)

Toronto, ON · On-site

$216 - $297/hr

Overview Secure every identity--from AI to human--is key to unlocking the potential of AI. Okta secures AI by building trusted, neutral infrastructure that enables organizations to adopt this new era ...

New

About the Role Anthropic's Investor Relations team is responsible for managing the company's engagement with its investors and the broader financial community. The Director of Investor Relations will ...

Showing results 21-30

Domain Expert in Residence

Doist

Manhattan, NY • On-site

$130 - $190/hr

Other

Posted 2 days ago


Job description

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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