Marketing Expert - Creator Programs

Mercor; Berlin; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Mercor is building high-fidelity simulated work environments to evaluate and improve AI agents in real marketing tasks. You will help design creator and influencer scenarios, including briefs, artifacts, judgments, and planted issues that test decision-making quality.

We look for hands-on practitioner experience running creator or influencer programs, familiarity with creator platforms and disclosure rules, and preferred background building AI training or RL environments, with Rubric

Qualifikationen

• Hands-on practitioner experience running creator or influencer programs.
• Comfortable with creator platforms, paid amplification through creator handles, and the disclosure rules that govern the work.
• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred.
• Rubric Academy or Rubric Bootcamp certification is strongly preferred.
• Clear written reasoning — much of the value is in explaining why a decision is right.

Aufgaben

• Design task briefs drawn from work you have actually done running creator programs, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
• Specify the documents, dashboards, personas and tool states a realistic version of that task requires
• Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
• Review AI agent attempts and judge them against your own standard
• 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.

Kenntnisse

Creator programs

Influencer marketing

AI training envs

RL environments

Rubric certification

Jobbeschreibung

About the work

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.

What you will do

• Design task briefs drawn from work you have actually done running creator programs, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
• Specify the documents, dashboards, personas and tool states a realistic version of that task requires
• Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
• Review AI agent attempts and judge them against your own standard

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 & Influencer scope

Creator discovery and evaluation, influencer program decisions, seeding and campaign execution, usage rights and disclosure judgment, and share-of-voice contribution.

Who we are looking for

• Hands-on practitioner experience running creator or influencer programs — you have selected, negotiated with and measured creators yourself
• Comfortable with creator platforms, paid amplification through creator handles, and the disclosure rules that govern the work
• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
• Rubric Academy or Rubric Bootcamp certification is strongly preferred
• Clear written reasoning — much of the value is in explaining why a decision is right

Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.