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Obsidian in Houston is seeking a hands-on practitioner to design and pressure-test creator and influencer environments used to evaluate AI agents. You will craft briefs, artifacts, and judgment criteria to simulate realistic marketing work contexts.
You will also review AI agent attempts, ensure clear explanations, and verify adherence to disclosure rules governing paid promotions, drawing on experience running creator programs.
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.