Social Media Expert - AI Environments - AI Trainer

Mercor; Dallas (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

Mercor is seeking a hands-on Social Media Training Environments Designer to help build high‑fidelity simulated work environments for AI agent evaluation. You will craft briefs, specify required artifacts, write reference answers, and judge AI attempts against clear criteria.

The role spans social inbox management, publishing, and brand voice analysis, focusing on market-ready capabilities. Ideal candidates have hands-on brand social experience, fluency with Sprout Social, and background in AI

Qualifications

• Hands-on brand social experience with ownership of accounts and inbox
• Ability to read native platform analytics
• Experience building AI training environments or simulations
• Rubric Academy or Rubric Bootcamp certification preferred
• Clear written reasoning explaining decisions

Responsibilities

• Design task briefs from real social media work to test AI agents
• Specify required documents, dashboards, personas, and tool states
• Write or review reference answers and success criteria
• Review AI agent attempts and judge against standards
• Oversee social inbox management and campaign publishing scope

Skills

Hands-on brand social

Social analytics

Clear written reasoning

Tools

Sprout Social

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 Social Media 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 social media, 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.

Social Media scope

Social inbox management, campaign and publishing execution, share-of-voice analysis, and the response judgment calls that come with an owned brand channel.

Who we are looking for

• Hands-on practitioner experience running brand social — you have owned the account and the inbox, not only managed people who do it
• Fluent in a social management platform such as Sprout Social, and comfortable reading native platform analytics
• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
• Rubric Academy or Rubric Bootcamp certification is strongly preferredClear 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.