Remote Political Science QA Lead for AI Training

AI Trainer Jobs; United States; Remote; USD 80,000 - 113,000; Part time

Job summary

AI Trainer Jobs in the United States seeks a Political Science Quality Assurance Lead to oversee QA across political science AI training projects. This remote, hourly contractor role emphasizes accuracy, balance, and policy reasoning in reviewer feedback.

You will assess AI-generated political science content, monitor trainer outputs, maintain guidelines, and coordinate with remote experts to ensure consistent quality and timely updates.

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 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.
• Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred.

Responsibilities

• Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escape 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, international relations, bias, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve.
• Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Skills

Public Policy

Political Theory

Political Science

Comparative Politics

Trainer Feedback

LLM evaluation

Governance

Bias Review

International Relations

AI Training

Education

Bachelor’s, Master’s, or PhD in Political Science or related field

Job description

AI Trainer Jobs in the United States seeks a Political Science Quality Assurance Lead to oversee QA across political science AI training projects. This remote, hourly contractor role emphasizes accuracy, balance, and policy reasoning in reviewer feedback.

You will assess AI-generated political science content, monitor trainer outputs, maintain guidelines, and coordinate with remote experts to ensure consistent quality and timely updates.