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Obsidian seeks a hands-on Content Marketing specialist to design and pressure-test simulated work environments for AI agents. You will own editorial programs end to end, set briefs, artifacts, and criteria, and review reference answers and rubrics.
You will judge AI attempts against standards, diagnose issues from data, prioritize tradeoffs, and orchestrate multi-tool workflows using CMS Contentful, GA4 and Semrush.
We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.
You will help design and pressure-test the Content Marketing environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.
Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.
Research and discovery, editorial prioritization, content production, and content QA and audit.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.