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Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for leading AI companies. They are seeking a Philosophy Quality Assurance Lead to oversee quality and consistency across philosophy-focused AI training projects, ensuring that the content is conceptually precise and aligned with client expectations.
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.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Philosophy, Ethics, Logic, Political Theory, Humanities, Religious Studies, Classics, Cognitive Science, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in philosophy research, teaching, writing, editing, academic review, ethics review, logic instruction, or related humanities workflows.
• Strong understanding of philosophical methods, logic, argument analysis, ethics, epistemology, metaphysics, philosophy of mind, political philosophy, history of philosophy, and conceptual clarification.
• Ability to evaluate philosophy content against detailed rubrics and identify issues such as strawman arguments, invalid inference, conceptual confusion, oversimplification, unsupported claims, false equivalence, or misrepresentation of philosophers’ views.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with areas such as formal logic, moral philosophy, applied ethics, analytic philosophy, continental philosophy, ancient philosophy, political philosophy, philosophy of science, or AI ethics.
• Experience leading or supporting remote teams of researchers, writers, reviewers, educators, annotators, or QAs.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Experience with AI training, data annotation, LLM evaluation, academic QA, ethics review, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.