Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
OpenTrain AI is seeking a Building Code Plan Review Evaluator to create evaluation tasks from real permit drawings and site photos, producing structured deliverables such as correction letters and review decisions.
You will set the correct code-compliance judgments for each scenario, covering building, energy, accessibility, zoning, occupancy, and permit completeness topics, with strong attention to omissions.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts skilled specialists for projects that help improve modern AI systems, while giving contributors a way to build a lasting record of specialized work.
Creating an OpenTrain account is free, and qualified professionals can apply to meaningful remote projects that put their existing expertise to work.
AI training is the human side of building artificial intelligence. Specialists prepare examples, write responses, and evaluate model outputs so AI systems can perform more accurately in professional settings.
In this project, your construction and property review judgment will help assess whether AI can understand permit materials, identify code issues, and produce useful review deliverables.
OpenTrain is seeking a Building Code Plan Review Evaluator to create evaluation tasks that measure AI performance in construction and property review work. You will work from real permit drawings, documents, and site photos to produce structured deliverables such as correction letters, review decisions, and marked-up plan sets.
The work spans building and accessibility requirements, energy code drawing checks, occupancy classification, zoning site plans, permit intake completeness, as-built deviations, and specialty occupancies including healthcare facilities, schools, food service, and public pools.
You will author realistic plan review evaluation tasks grounded in actual permit review practice, define the correct answer and code compliance judgment for each scenario, and support quality review of the resulting deliverables.
The role requires careful attention to omissions and judgment calls that less experienced reviewers may overlook. You will review scenarios across building, energy, accessibility, zoning, occupancy, and permit completeness topics.
Candidates should have current or recent experience as a building department plans examiner, third-party or private-provider plan reviewer, or code consultant. At least three years of direct plan review experience is required, with deeper experience preferred.
You must have an ICC Building Plans Examiner certification at the B1, B2, or B3 level, or equivalent AHJ or third-party plan review experience. Strong judgment about omissions and issues that affect code review quality is essential.
Experience improving the consistency and quality of plan review work will be especially valuable in this role. Background in training other reviewers, maintaining review resources, or working across jurisdictions can help you create more realistic evaluation scenarios.
AI training and data labeling are growing fields where professional expertise directly shapes how advanced AI systems behave. This project offers a way to apply your building code knowledge to emerging technology while working remotely.
Most AI training projects are flexible and can fit around other commitments. This opportunity has a default commitment of about 40 hours per week, requires at least 20+ hours weekly, and offers the potential for the hourly rate to grow as the project scales.