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 Details

Type: Contract
Compensation: $80--$105/hour
Location: Remote

Role Responsibilities

Audit and evaluate richly detailed personas, digital environments, and tasks created by AI Training Scenario Designers. Ensure they are logically sound and properly structured.
Apply strict rubrics to score scenarios objectively. Ensure tasks challenge an AI agent's ability to reason, filter, and prioritize without being broken or impossible.
Identify logical inconsistencies, factual errors, missing context, and technical flaws such as invalid JSON structures within simulated environments.
Provide clear, constructive, and actionable feedback to scenario designers. Help refine their worlds and improve overall output.
Document outcomes by logging review outcomes, scores, and feedback clearly in Airtable and Crucible.

Qualifications

Must-Have

Undergrad degree
2 years professional experience

Preferred

Editing / QA background: Senior editor, QA tester, technical reviewer, compliance auditor, or peer-reviewer.
Technical / data comfort: JSON familiarity, Jira/Asana power user, data analyst, SQL/Python exposure.
Process & Systems thinking: Operations managers, technical PMs, or systems designers with a strong understanding of complex workflows.

Application Process (Takes 20--30 mins to complete)

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AI interview based on your resume
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Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Scenario Reviewer - AI Trainer

Job summary

Work model