Philosophy QA Lead - Remote

Key Responsibilities

• Quality monitoring: Spot-check philosophy items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Philosophy review: Evaluate AI-generated philosophy explanations, argument analyses, ethical reasoning, summaries of philosophers, logic problems, and conceptual comparisons for accuracy and rigor.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and philosophy-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around argument validity, conceptual distinctions, philosophical traditions, interpretation, ethics, logic, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain philosophy project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and philosophy-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply philosophy-review guidelines consistently and understand updates as projects evolve.
• Reasoning and ethics review: Flag invalid, misleading, biased, overconfident, poorly argued, or ethically shallow philosophical content.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for philosophy AI training projects.

About the role

This hourly, remote contractor role involves overseeing quality, consistency, and trainer performance across philosophy-focused AI training projects. You will review AI-generated philosophy content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.