Political Science Quality Assurance Lead (Remote)

About the role

This remote, hourly contract position focuses on leading quality assurance for political science AI training projects. You will ensure that AI‑generated political science content and trainer work meet rigorous standards of accuracy, balance, and clarity.

Key responsibilities

• Oversee quality, consistency, and trainer performance across political science data projects.
• Review AI‑generated content and trainer/QA outputs against detailed project rubrics.
• Provide precise written feedback and ensure contributors follow quality guidelines.
• Assess work for conceptual accuracy, institutional knowledge, comparative context, political theory, policy reasoning, source awareness, bias sensitivity, clarity, formatting, and instruction‑following.
• Identify recurring quality issues, communicate updates to trainers and QAs, and support onboarding of new contributors.
• Maintain documentation and reactivate contributors who are not working consistently.

Required profile

• Bachelor’s, Master’s or PhD in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics or a closely related field.
• Strong command of English for written feedback and communication.
• 3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing or academic review.
• Deep understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance and political behavior.
• Ability to evaluate content against detailed rubrics and spot oversimplification, bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning or weak comparative analysis.

Required skills

What we offer

• Opportunity to influence the quality of training data for leading AI models.
• Flexible remote work environment.
• Access to future AI data projects through the expert network.