AI labs spend billions on expert human data, yet reject over 80% of the credentialed professionals who apply — not for lack of expertise, but for lack of craft. We teach that craft: prompts, rubrics, golden answers, and the auditor's eye.
Frontier AI labs now pay doctors, lawyers, and finance professionals $100–$500+ an hour to create training data, write evaluation rubrics, and audit model outputs. But the industry trains nobody:
Figures from public reporting and platform-worker research, 2025–2026: Bloomberg, TechCrunch, Deel State of Global Hiring, GigDrift, platform review data. Sources on request.
The SME Standard teaches the complete craft of expert AI-data work — the same standard used to audit work inside frontier-lab projects — through graded, artifact-first programs:
Every student produces real artifacts — prompt packages, rubrics, golden answers, audit reports — and every artifact is graded against published rubrics with written feedback. The assessment method is itself the lesson.
See the full curriculum →Generalist annotation is being automated and rate-compressed. Expert evaluation is exploding. The window to enter at the specialist tier is now.
Attorneys, CPAs and CFAs, physicians, PhDs, and specialists who want high-value AI training-data work. Cohort-based training, graded practice, a portfolio, and a professional community — with Legal and Finance tracks first.
Explore the programs →Turn applicant-pool waste into yield. Private cohorts for your expert bench, onboarding audits, curriculum licensing, and a certified-talent pipeline — measured in approval-rate lift and rework reduction, not completion certificates.
Explore enterprise programs →The SME Standard was founded and is taught by practitioners — working subject-matter experts and auditors whose experience spans the roles that define quality in this industry:
Authoring expert-level prompts and benchmark tasks for frontier-lab evaluation programs — including scenarios rated at the highest complexity tiers, requiring hours of expert work to solve.
Building and QA-ing grading rubrics with 100+ weighted criteria to frontier-project standards — self-contained, objectively judgeable, and defensible to external audit.
Serving as quality-control reviewers and auditors of other experts' packages on RLHF and benchmark programs — verifying every citation, figure, and criterion against primary sources.
Building the onboarding guides, rubric explainers, and training decks used to bring new domain experts onto live projects — the origin of this school.
Our instructors' project work sits under confidentiality obligations, which we honor completely: our curriculum is built clean-room from public sources and original synthetic examples, and we never trade in any platform's confidential materials or assessment content. That discipline is a feature — it is the same integrity we teach.
Experts and companies alike — tell us what you need and we’ll route you to the right program.