Marketing Analytics Expert - AI Environments - AI Trainer

Mercor; Philadelphia (Philadelphia County); On-site; USD 90,000 - 120,000; Full time

Job summary

Mercor is building high-fidelity simulated marketing environments to evaluate and improve AI agents on real marketing work. You will design briefs, specify required documents, dashboards, personas, and tool states that mimic real campaigns and decisions.

We seek hands-on marketing analytics practitioners fluent in Google Analytics 4, Amplitude, Salesforce, and ad-platform reporting, with a track record of creating clear written reasoning and AI training or RL scenarios.

Qualifications

• Hands-on practitioner experience in marketing analytics.
• Fluent with GA4, Amplitude, Salesforce, and ad platform reporting.
• Experience building AI training environments or simulated case studies is preferred.
• Clear written reasoning and ability to explain decisions.

Responsibilities

• Design task briefs drawn from real marketing analytics work and specify the tests and decisions to evaluate.
• Specify documents, dashboards, personas and tool states required for tasks.
• Write or review reference answers and criteria to distinguish strong responses.
• Review AI agent attempts and judge against established standards.

Skills

Marketing analytics

Written reasoning

RL environment experience

Tools

GA4

Amplitude

Salesforce

Ad platform reporting

Job description

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 Marketing Analytics 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 in marketing analytics, 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.

Marketing Analytics scope

Anomaly detection, channel-performance synthesis, cross-source reconciliation, attribution and incrementality reading, and reporting that supports an actual decision.

Who we are looking for

• Hands-on practitioner experience in marketing analytics — you have owned this work, not only managed people who do it
• Fluent in the tools of the domain: Google Analytics 4, a product analytics tool such as Amplitude, a CRM such as Salesforce, and ad platform reporting
• 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.