Social Media Expert - AI Environments

About the work

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 Social Media environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

What you will do

• 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
• 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.

Social Media scope

Social inbox management, campaign and publishing execution, share-of-voice analysis, and the response judgment calls that come with an owned brand channel.

Who we are looking for

• Hands-on practitioner experience running brand social - you have owned the account and the inbox, not only managed people who do it
• Fluent in a social management platform such as Sprout Social, and comfortable reading native platform analytics
• 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.