Job Title: Content Evaluation Specialist (Political Science / Public Policy)
Job Type: Part-time commitment
Location: India
Job Summary
Join our customer's team as a Content Evaluation Specialist (Political Science / International Relations/ Public Policy) and play a key role in advancing research on AI-generated content. In this engaging, part-time role, you will leverage your expertise in political systems and critical thinking to evaluate, label, and improve the quality of conversational AI responses. This is a unique opportunity to shape the future of responsible AI while working remotely.
Key Responsibilities
• Review and assess AI-generated texts for quality, clarity, and adherence to defined guidelines.
• Execute scripted and exploratory prompts to evaluate model performance and content safety.
• Apply structured labeling frameworks with precision and consistency across varied political and policy-related themes.
• Document and synthesize evaluation findings, highlighting patterns or anomalies for research purposes.
• Maintain neutrality and objectivity, especially when handling ideologically sensitive or complex topics.
• Collaborate with the customer’s team to ensure calibration and consistency in content assessments.
• Contribute insights to support ongoing improvement of evaluation protocols.
Required Skills and Qualifications
• Bachelor’s degree (or final-year student) in Political Science, International Relations, Public Policy, or a closely related discipline.
• Exceptional English reading comprehension, writing, and verbal communication skills.
• Demonstrated ability to analyze arguments, identify biases, and apply critical thinking in content assessment.
• Strong attention to detail and methodical approach to applying labeling criteria.
• Capacity to remain impartial and professional when engaging with sensitive or controversial content.
• Proven experience working independently and managing time effectively in a remote environment.
• Familiarity with contemporary political systems and ideologies.
Preferred Qualifications
• Previous experience in content moderation, data labeling, or AI research environments.
• Knowledge of local and global policy issues and their societal impact.
• Experience collaborating with interdisciplinary teams in a fast-paced, research-driven setting.
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