Remote Field Marketing Specialist – AI Training Environments

Mercor

San Francisco (CA)

Hybrid

GBP 62,000 - 103,000

Part time

26 hours ago
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Job summary

Mercor is seeking a Marketing Expert focusing on Field Marketing for AI Agent Environments. This contract role is remote and offers hourly compensation between $60 and $100. You will design field-marketing tasks, specify required documents and dashboards, and craft reference answers to evaluate AI agent performance.

Experience in events and CRM tooling is essential to succeed in this role. You'll review AI agent attempts, collaborate across teams, and help shape training materials and evaluation

Qualifications

  • Hands-on experience in field marketing or events.
  • Comfortable with CRM tools like Salesforce and project trackers like Asana or Linear.
  • Clear written reasoning.

Responsibilities

  • Design task briefs from your field marketing or events experience, focusing on the task's true test and decision-making.
  • Specify necessary documents, dashboards, personas, and tool states for realistic task execution.
  • 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 data, prioritize, plan, execute, QA, triage, research, evaluate, report, and orchestrate multi‑step work across tools.

Skills

Field marketing
Events
CRM tools
Salesforce
Asana
Linear
Clear written reasoning

Tools

Salesforce
Asana
Linear

Job description

Mercor is seeking a Marketing Expert focusing on Field Marketing for AI Agent Environments. This contract role is remote and offers hourly compensation between $60 and $100. You will design field-marketing tasks, specify required documents and dashboards, and craft reference answers to evaluate AI agent performance.

Experience in events and CRM tooling is essential to succeed in this role. You'll review AI agent attempts, collaborate across teams, and help shape training materials and evaluation

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