Job Description
About the work
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We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each setting 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.
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You will help design and pressure-test the Social Media environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.
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What you will do
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Design task briefs drawn from work you have actually done in social media, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
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Specify the documents, dashboards, personas and tool states a realistic version of that task requires
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Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
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Review AI agent attempts and judge them against your own standard
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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.
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Social Media scope
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Social inbox management, campaign and publishing execution, share-of-voice analysis, and the response judgment calls that come with an owned brand channel.
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Who we are looking for
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Hands-on practitioner experience running brand social — you have owned the account and the inbox, not only managed people who do it
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Fluent in a social management platform such as Sprout Social, and comfortable reading native platform analytics
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Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
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Rubric Academy or Rubric Bootcamp certification is strongly preferred
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Clear written reasoning — much of the value is in explaining why a decision is right
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Screening
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Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

📌 Social Media Expert - Ai Environments (New South Wales)
🏢 Mercor
📍 New South Wales