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Mercor is seeking a hands-on practitioner to design and pressure-test Organic Growth environments. You will draft task briefs, specify required documents, dashboards, personas and tool states, and write or review reference answers and evaluation criteria.
You will review AI agent attempts and judge them against your standards. Roles span diagnosing, prioritizing, planning, QA and multi-tool orchestration across organic growth tasks.
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 Organic Growth 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.
Search and answer-engine visibility, content-led acquisition, technical and on-page diagnosis, keyword and topic prioritization, web and pricing journey optimization, and funnel diagnosis on organic traffic.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.