Job Title: Content Evaluation Specialist (Political Science / Public Policy)

Job Type: Part-time commitment

Location: Delhi, 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.