Marketing Operations Expert - AI Environments

Remote•Remote

RemoteUSD 60 - 100remotejobsorg

AI TrainingContractremotejobs.org

About this role

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 — Marketing Operations (AI Agent Environments) Type:Contract Compensation:$60–$100/hour Location:Remote Role Responsibilities

Design task briefs based on real marketing operations experience, focusing on planted issues and strong decision-making.
Specify 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 and evaluate AI agent attempts against personal standards.
Diagnose issues from messy data, prioritize tasks, plan, execute, and orchestrate multi-step work across tools. Qualifications Must-Have
Hands-on practitioner experience in marketing operations.
Fluent in CRM tools like Salesforce, marketing automation platforms, project trackers like Asana or Linear, and support tools like Zendesk or Intercom.
Clear written reasoning skills. 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
Submit form Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Posting details

Remote

Yes

Employment type

—

Workplace type

Remote

Source

remotejobsorg

First seen

10/5/2026, 2:10:26 PM

Last seen

10/5/2026, 2:10:26 PM