Marketing Expert – Social Media, AI Agent Environments
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Job Description
Marketing Expert designing and evaluating social-media environments for Mercor’s AI training projects. Creating realistic briefs, benchmarks, and agent assessments from hands-on brand-social expertise.
Responsibilities:
- Design task briefs based on real social media work, including the issue being tested and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas, and tool states required for realistic tasks
- Write or review reference answers and criteria distinguishing strong responses from plausible-but-wrong ones
- Review AI agent attempts and evaluate them against professional standards
- Create and assess tasks involving diagnosis of messy or conflicting data, prioritization, tradeoffs, planning, execution, QA, reconciliation, triage, escalation, research, evaluation, reporting, and multi-tool orchestration
- Work across social inbox management, campaign and publishing execution, share-of-voice analysis, and response judgment calls for owned brand channels
- Collaborate on projects focused on training and enhancing AI systems
Requirements:
- Hands-on practitioner experience running brand social; ownership of the account and inbox
- Fluent in a social management platform such as Sprout Social
- Comfortable reading native platform analytics
- Prior experience building AI training environments, RL environments, or simulated case studies strongly preferred
- Rubric Academy or Rubric Bootcamp certification strongly preferred
- Clear written reasoning and ability to explain why a decision is right
- Must complete a short multiple-choice knowledge screener specific to the sub-domain
- Independent contractor engagement
- Unable to support H1-B or STEM OPT candidates at this time
Benefits:
- Fully remote role
- Flexible schedule; work can be completed on your own schedule
- Weekly payments via Stripe or Wise based on services rendered
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Competitive pay
- Collaboration with leading researchers
- Opportunity to help shape the next generation of AI systems
- Up to $400 per successful referral, with no referral limit (restrictions may apply)
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