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Mercor is building high-fidelity simulated brand marketing environments to evaluate AI agents. You will design task briefs, specify required documents and tools, and craft criteria to judge AI outputs. The role focuses on diagnosing data, prioritizing actions, planning across tools, and ensuring rigorous QA and evaluation.
Experience in brand marketing and the ability to articulate reasoning are essential. Preference for candidates with experience building AI training environments and
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 Brand Marketing 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.
Brand and share-of-voice analysis, messaging consistency across regions and channels, distinctive asset management, and channel and tactic decisions.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.