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Mercor is building high-fidelity simulated work environments to evaluate AI agents on real marketing tasks. You will design organic growth tasks, specify the required dashboards, personas and tool states, and write reference answers that reveal robust reasoning.
You will review AI agent attempts, judge performance against a clear rubric, and ensure analyses cover diagnostics, prioritization, planning and reporting across multiple tools.
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.