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Mercor is seeking a hands-on professional to design and evaluate creator/influencer work environments. You will craft task briefs, define required documents and dashboards, and establish reference criteria to gauge agent performance against expert standards.
The role emphasizes explaining why decisions are correct, building realistic evaluation artifacts, and reviewing AI agent attempts across multiple tools and data sources.
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 Creator and Influencer 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.
Creator discovery and evaluation, influencer program decisions, seeding and campaign execution, usage rights and disclosure judgment, and share-of-voice contribution.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.