
location_on1536, East 77th Street, Florence-Firestone, Firestone Park, Los Angeles County, California, 90001, United States
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.
As an AI Training Scenarios Reviewer, you will serve as the quality gatekeeper for the personas, digital environments, and tasks created by our design team. Your mission is to ensure that every scenario is logically sound, properly structured, and capable of effectively challenging an AI agent's reasoning, filtering, and prioritization abilities without introducing technical errors.
In this role, you will apply strict rubrics to score scenarios objectively, identifying logical inconsistencies, factual errors, and technical flaws such as invalid JSON structures. You will work closely with scenario designers to provide clear, constructive feedback that refines their worlds and improves overall output. Success in this position requires a keen eye for detail and a strong understanding of complex workflows.
The application process takes approximately 20–30 minutes to complete and consists of the following steps:
Our team reviews applications daily. To be considered for this opportunity, please ensure you complete all AI interview and application steps.
For detailed information regarding the interview process and platform specifics, please visit: talent.docs.mercor.com
For any questions or support, reach out to: support@mercor.com
Work model: Remote
1536, East 77th Street, Florence-Firestone, Firestone Park, Los Angeles County, California, 90001, United States
Firestone Park, California
Editing or QA background (e.g., senior editor, QA tester, technical reviewer, compliance auditor, or peer-reviewer). Technical or data comfort including JSON familiarity, Jira/Asana power user experience, data analyst skills, or SQL/Python exposure. Process and systems thinking experience (e.g., operations managers, technical PMs, or systems designers with a strong understanding of complex workflows).