Political Science Quality Assurance Lead (QAL)

About this role

In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

Political Theory, Governance, Comparative Politics

Responsibilities

• Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, and international relations.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.

Qualifications

• Bachelor's, Master's, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows.
• Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior.
• Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, or misleading causal reasoning.