Content Evaluation Specialist (Political Science / Public Policy)

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About the Organization

micro1 turns human brilliance into the force that drives the world’s most ambitious AI.

A model is only as good as its data, and beneath every breakthrough in Al, there's an orchestra of human expertise powering that data.

micro1 conducts that orchestra, finding the sharpest minds and forging their expertise into the datasets that shape how AI reasons, adapts, and integrates into the future of humanity.

Job Description

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.

Job 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.

Education Qualification/Required Skills & Experience

• 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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