Political Science Quality Assurance Lead (QAL)

Job Summary

As a Political Science Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across political science AI training projects.

You will review AI-generated political science content, policy analyses, institutional explanations, comparative politics discussions, political theory content, international relations materials, and trainer/QA submissions to ensure outputs are accurate, balanced, analytically rigorous, and aligned with project standards.

Your work will directly contribute to improving advanced AI systems by ensuring political science training data is well-contextualized, evidence-based, and free from unsupported or misleading claims.

Key Responsibilities

Quality Monitoring

• Review political science tasks and QA outputs
• Identify recurring quality issues, provide detailed written feedback, and escalate critical quality concerns

Political Science Review

• Review and evaluate political science explanations, comparative politics analyses, public policy summaries, political theory discussions, institutional descriptions, international relations content, governance assessments, electoral system analyses, and political behavior discussions
• Assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, instruction adherence, and rubric compliance

Trainer & QA Communication

• Communicate guidelines, workflow changes, quality standards, political science review expectations, and evaluation criteria

Contributor Support

• Answer questions involving political institutions, comparative politics, public policy, political theory, international relations, governance systems, electoral systems, bias assessment, and rubric application

Activation Management

• Follow up with inactive contributors, track engagement and participation, escalate availability concerns when needed

Documentation & Onboarding

• Create and maintain style guides, documentation, FAQs, quality notes, examples, calibration tasks, and onboarding resources
• Conduct onboarding and training sessions for contributors

Bias & Risk Review

• Identify and flag ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, weak comparative analysis, politically inflammatory content, outdated information, oversimplified conclusions, and poorly contextualized claims

Process Improvement

• Improve QA workflows and identify recurring quality gaps
• Develop scalable political science review processes

Required Qualifications

• Bachelor's, Master's, PhD, or equivalent background in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or related social science disciplines
• Strong English communication skills
• Minimum 3 years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, or academic review
• 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 identify ideological bias, unsupported claims, weak analysis, institutional inaccuracies, misleading political reasoning, and poor comparative context

Preferred Qualifications

• Experience with Democracy & Authoritarianism Studies, Political Economy, Public Administration, Constitutional Systems, Electoral Politics, Conflict Studies, International Organizations, Policy Evaluation, and Survey Research
• Experience with AI Training, Data Annotation, LLM Evaluation, Policy QA, Academic Review, Fact-Checking, and Rubric-Based Evaluation

Why Join

• Help improve leading AI systems through political science quality assurance
• Flexible remote schedule
• Weekly payments
• Access to future opportunities through SME Careers' expert network

Selection Process

1. AI Interview
2. Domain Assessment
3. Recruiter Interview

Important Note

There is currently no active project for this role. Qualified candidates will be added to the SME Careers expert network and contacted when political science opportunities become available.