Social Media Expert - AI Environments

Mercor; Mumbai; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Mercor is building high-fidelity simulated work environments to evaluate AI agents in real marketing tasks. You will design social media briefs, artifacts, and judgment criteria, shaping the planted issues and the expected decision outcomes for strong practitioners.

We seek hands-on social brand experience, fluency in Sprout Social, and experience building AI training or RL environments. You will write reference answers and scoring rubrics, review AI agent attempts, and ensure clear,

Qualifications

• Hands-on experience running brand social and owning the account and inbox.
• Clear written reasoning; ability to explain why a decision is right.
• Experience building AI training environments, RL environments or simulated case studies.
• Rubric Academy or Rubric Bootcamp certification is strongly preferred.
• Ability to read native platform analytics and derive actionable insights.

Responsibilities

• Design task briefs drawn from real social media work, specifying what the task tests and the expected decision.
• Specify documents, dashboards, personas and tool states required for a realistic task.
• Write or review reference answers and the scoring criteria that separate strong from plausible-but-wrong responses.
• Review AI agent attempts and judge them against your standard.

Skills

Brand social ownership

Clear written reasoning

AI/RL training environment

Rubric bootcamp certification

Analytics reading

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 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.