🎓 Part of the free, open-source AI Career Curriculum ecosystem — Infrastructure · ML Engineering · AI Engineering · Governance. Live cohorts & team programs: ai-infra-curriculum.github.io.
💜 Sponsor this curriculum — sponsorships keep the whole open-source AI Career Curriculum free and moving.
Release-assurance-methodology specialist track (level 35, AI Governance family). Turns evaluation evidence — produced by the peer AI-eval and model-eval specialists (level 30) and by the risk engineer (level 25) — into defensible release-gate decisions, model / system / dataset cards for external audiences, third-party audit packages, regulator-facing submissions, and post-market-surveillance evidence.
Status: curriculum planned (2026-07-10). Postings sample deferred to the next autonomous cycle — see
JOB_REQUIREMENTS.md → Status. Module lessons and worked exercises land on subsequent cycles. SeeCURRICULUM.mdfor the 12-module + 3-project plan (~297 taught hours).
ai-evaluation-engineer-learning/
├── lessons/mod-XXX-*/ modules with lectures, exercises, labs, quizzes
├── projects/project-XXX-*/ multi-module capstones
├── CURRICULUM.md role-level coverage map
├── PREREQUISITES.md assumed entry skills
├── VERSIONS.md release history
└── README.md this file
ai-evaluation-engineer-solutions carries the reference implementations.
Maintained by VeriSwarm.ai