Political Science Quality Assurance Lead for Remote Contract
Overview
Oversee quality and consistency in political science AI training projects as a remote contractor. Review AI-generated political science content and trainer work, ensuring alignment with detailed rubrics and client guidelines. Provide precise written feedback and maintain project documentation to support scalable QA workflows. Lead communication with trainers and QAs on updates, onboarding, and quality standards while guiding remote teams. Strong political science expertise and precise English communication are essential to maintain accuracy and balance in analyses and policy reasoning.
What You'll Do9
- 1Spot-check AI-generated political science outputs and trainer work, flag quality issues, and document findings in project trackers.
- 2Evaluate explanations and policy summaries for accuracy, balance, and proper institutional descriptions against rubrics and guidelines.
- 3Communicate guidelines, workflow changes, and quality expectations to Discord-based trainer and QA teams, ensuring consistency across contributors.
- 4Respond to questions from trainers and QAs with clarity on institutions, comparative politics, public policy, and bias considerations.
- 5Proactively identify inactive contributors, drive activation follow-ups, and escalate availability issues to project managers.
- 6Create and maintain comprehensive political science project documentation, including style guides, FAQs, and calibration tasks for ongoing training projects.
- 7Coordinate onboarding and training sessions to align trainers and QAs with project expectations and review requirements.
- 8Monitor bias risks and flag ideologically skewed or poorly contextualized content for remediation.
- 9Suggest improvements to QA processes to scale political science AI training across multiple projects.
Requirements10
- 1Bachelor’s, Master’s, or PhD in political science, international relations, public policy, government, political theory, security studies, law, sociology, economics, or related field
- 2Strong written and spoken English to follow guidelines and provide clear feedback
- 33+ years in political science research, policy analysis, academic review, or related analytical work
- 4Deep understanding of political institutions, comparative politics, international relations, public policy, electoral systems, governance, and political behavior
- 5Experience evaluating content against rubrics and identifying bias, incorrect descriptions, or weak analysis
- 6Familiarity with democracy vs. authoritarianism, political economy, public administration, constitutional systems, and survey research preferred
- 7Experience leading or supporting remote analytical teams, annotators, or QAs is highly preferred
- 8Comfort with remote collaboration tools like Discord, Google Sheets, Google Docs, trackers, dashboards, and PM systems
- 9Highly detail-oriented with strong documentation skills and ability to maintain style guides and onboarding materials
- 10Experience with AI training, data annotation, LLM evaluation, policy QA, or rubric-based review is a strong plus
Who Should Apply
Domain experts with substantial political science experience who enjoy rigorous quality work and remote collaboration. Ideal candidates combine strong analytical ability with precise, actionable feedback. This role suits researchers, educators, or policy analysts who can articulate complex concepts clearly and adhere to detailed rubrics. It is less suitable for those without deep policy or governance knowledge or those who struggle with written critique in English. Candidates who have not led remote teams or who are uncomfortable using Discord, Google Docs, and project trackers may find the workflow challenging.
Salary Insight
$70/hr. This is an hourly remote contract role and compensation aligns with experienced QA leadership in AI training projects.
Location
Required Skills
Application Tip
Highlight concrete examples of documenting feedback, improving QA workflows, or leading remote reviewer teams. Mention use of rubrics to pinpoint bias, and any prior AI training or policy QA work, with quantifiable outcomes if possible.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
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