PR & Communications Expert - AI

Obsidian; Berlin; Vor Ort; EUR 52.000 - 78.000; Vollzeit

Zusammenfassung

Obsidian is seeking a PR and Communications specialist to design and pressure-test AI training environments focused on marketing work. You will craft task briefs, specify required documents and dashboards, and write reference answers with judging criteria for strong practitioner performance.

You’ll review agent attempts, ensuring clear reasoning and rigorous evaluation across email, shared drives, and project-tracking workflows.

Qualifikationen

• 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.

Aufgaben

• 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 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.

Kenntnisse

PR experience

Communications

Media pitching

Embargo management

Tools

Email

Shared drives

Project tracker

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 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

Screening

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