Content Marketing Expert - AI Environments

Mercor; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Obsidian is building high-fidelity simulated work environments to evaluate and improve AI agents on real marketing work. You will design task briefs, specify required artifacts, and establish evaluation criteria to probe decision-making in content marketing.

You will work with lived content marketing experience, CMS (Contentful), GA4 analytics, and a research tool like Semrush to craft realistic tasks and references for AI testing in a marketing context.

Qualifications

• Hands-on editorial program ownership in content marketing.
• Experience with CMS (Contentful), GA4 and Semrush.
• Nice to have experience building AI training environments or simulated cases.
• Clear written reasoning and ability to justify decisions.

Responsibilities

• Design task briefs drawn from real content marketing work and define the testing criteria.
• Specify documents, dashboards, personas and tool states required for realistic tasks.
• Write or review reference answers and the evaluation criteria separating strong vs plausible wrong responses.
• Review AI agent attempts and judge them against your standard.
• Assess capabilities across diagnosis, prioritization, planning, QA, triage and cross-tool orchestration.

Skills

Content marketing

Editorial ownership

Contentful

GA4

Semrush

Tools

Contentful

GA4

Semrush

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 Content Marketing 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 content marketing, 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.

Content Marketing scope

Research and discovery, editorial prioritization, content production, and content QA and audit.

Who we are looking for

• Hands-on practitioner experience in content marketing — you have owned an editorial program end to end, not only managed people who do it
• Comfortable working in a CMS such as Contentful, alongside Google Analytics 4 and a research tool such as Semrush
• 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.