About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Marketing Expert — Lifecycle (AI Agent Environments) Type:Contract Compensation:$60–$100/hour Location:Remote
Role Responsibilities
Design task briefs based on actual lifecycle or CRM marketing work. Define the task's true test, including planted issues and strong practitioner decisions.
Specify necessary documents, dashboards, personas, and tool states for realistic task versions.
Write or review reference answers and criteria distinguishing strong from plausible-but-wrong responses.
Review AI agent attempts and evaluate them against your standards.
Diagnose issues from messy or conflicting data, prioritize, make tradeoffs, plan, execute, QA, reconcile, triage, escalate, research, evaluate, report, and orchestrate multi-step work across several tools.
Qualifications
Must-Have
Hands-on practitioner experience in lifecycle, CRM, or retention marketing.
Comfortable with an ESP, a CRM like Salesforce, and product analytics like Amplitude.
Clear written reasoning to explain decision-making.
Preferred
Experience building AI training environments, RL environments, or simulated case studies.
Rubric Academy or Rubric Bootcamp certification.
Screening
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review. Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
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Resources & Support
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
