Marketing Expert: Content Marketing (AI Agent Environments)

• 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

• Specify the documents, dashboards, personas and tool states a realistic version of that task requires

• Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one

• 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.

Who we are looking for

• Hands-on practitioner experience in content marketing — you have owned an editorial program end to end, not only managed people who do it

• Comfortable working in a CMS such as Contentful, alongside Google Analytics 4 and a research tool such as Semrush

• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred

• Rubric Academy or Rubric Bootcamp certification is strongly preferred

• Clear written reasoning — much of the value is in explaining why a decision is right

Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.