Political Science Quality Assurance Lead (QAL)

You will review AI-generated political science content and trainer QA work for accuracy, context, clarity, formatting, and compliance with project rubrics. You will also help keep review standards consistent across remote contributors.

The work covers political institutions, comparative politics, public policy, political theory, international relations, governance, state capacity, civil society, and political behavior.

• Review explanations, comparative analyses, policy summaries, political theory discussions, and institutional descriptions.
• Identify bias, unsupported or outdated claims, weak reasoning, missing context, and one-sided political framing.
• Give trainers and quality reviewers clear written feedback and explain rubric decisions.
• Answer questions about institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation.
• Maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, examples, and other documentation.
• Support contributor onboarding and training for political science projects.
• Spot recurring quality issues, escalate critical problems, and suggest workflow improvements.
• Track inactive contributors and follow-ups to support consistent project workflows.

This is a remote, part-time contractor role with flexible scheduling. It is open to candidates in the United States and requires at least 20 hours per week.

• Pay: Up to $70 per hour, depending on country variant and project assignment.
• Location: Open to candidates in the United States.
• Schedule: Part time, flexible, with a 20+ hour weekly requirement.
• Language: Strong written and spoken English communication.
• Education and background: A strong background in political science, international relations, public policy, government, political theory, security studies, law, sociology, economics, or a closely related field.
• Core skills: Evaluate political science work against detailed rubrics and explain quality issues clearly.
• Subject knowledge: Political institutions, comparative politics, international relations, governance, state capacity, civil society, and political behavior.
• Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Helpful experience: Political science research, teaching, policy analysis, academic review, fact-checking, rubric-based review, AI training, data annotation, LLM evaluation, or policy QA.
• Additional helpful background: Leading or supporting remote teams, or knowledge of political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind artificial intelligence, including reviewing model responses and preparing examples that help systems improve. People with political science expertise are needed to judge accuracy, context, reasoning, bias, and fairness in specialized content. OpenTrain helps people find AI training roles, build a profile, and apply in one place.