We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each workplace 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.

Design task briefs drawn from work you have actually done in content marketing,



including what the task is really testing — the planted issue and the decision a strong practitioner should reach Review AI agent attempts and judge them against your own standard 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.

Content

Marketing scope Research and discovery, editorial prioritization, content production, and content QA and audit. Hands-on practitioner experience in content marketing — you have owned an editorial program end to end, not only managed people who do it Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred

📌 Content Marketing Expert - AI Environments (Toronto)
🏢 Mercor
📍 Toronto