Political Science Quality Assurance Lead

You will oversee quality and consistency across political science AI training projects. This includes reviewing AI-generated explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and trainer QA work.

You will also support reviewers, maintain project guidance, and help resolve recurring quality issues across remote expert teams.

• Review content for political accuracy, institutional knowledge, comparative context, political theory, policy reasoning, source awareness, clarity, formatting, and instruction-following.
• Identify bias, misleading claims, one-sided arguments, unsupported or outdated information, and weak political context.
• Evaluate submissions against detailed project rubrics and explain quality issues through precise written feedback.
• Answer questions about institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation.
• Update style guides, FAQs, trackers, dashboards, onboarding materials, calibration tasks, examples, and other documentation.
• Support onboarding and training for political science contributors and communicate workflow or standard changes.
• Identify inactive contributors, track follow-ups, and suggest workflow improvements that support larger-scale QA.

This is a flexible, part-time contractor role for candidates in the United States. The listing is marked entry level, but the work requires strong political science knowledge and the ability to review complex material against detailed standards.

• Pay: Up to $70 per hour, depending on country variant and project assignment.
• Schedule: Part time, flexible, with a stated commitment of 20 or more hours per week.
• Location: United States only.
• Language: Strong written English is required.
• Education or background: Political science, international relations, public policy, government, political theory, security studies, law, sociology, economics, or a related field.
• Knowledge: Political institutions, comparative politics, international relations, governance, state capacity, civil society, and political behavior.
• Communication: Ability to give clear written feedback and explain quality decisions to trainers and reviewers.
• Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Helpful experience: 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 analysts, researchers, reviewers, educators, annotators, or QA teams.

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

AI training is the human work behind systems that generate and evaluate text, including reviewing examples and judging whether responses are accurate, clear, fair, and useful. People with subject expertise are paid to apply that knowledge so AI systems handle specialized topics more reliably.