PR & Communications Expert - AI

Mercor

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+
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Job summary

Mercor is seeking a hands-on PR and Communications practitioner to design and pressure-test AI training environments focused on PR tasks and communications workflows.

You will craft briefs, specify required documents and tools, and define reference answers and evaluation criteria. The role includes reviewing AI attempts and ensuring rigorous criteria, across the full spectrum of PR and comms activities.

Qualifications

  • Hands-on practitioner experience in PR or corporate communications.
  • Comfortable working across email, shared drives and a project tracker as a comms workflow.
  • 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.

Responsibilities

  • Design task briefs drawn from work you have actually done in PR or communications, 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.

Skills

PR experience
Written communication
Cross-functional collaboration

Tools

Email
Shared drives
Project tracker

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 PR and Communications 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 PR or communications, 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.

PR & Communications scope

Media pitching, embargo and exclusive strategy, announcement sequencing, interview preparation, coverage evaluation, corrections, and launch communications.

Who we are looking for
  • Hands-on practitioner experience in PR or corporate communications — you have pitched reporters, run embargoes and handled corrections yourself
  • Comfortable working across email, shared drives and a project tracker as a comms workflow
  • 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
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