Philosophy Quality Assurance Lead (QAL)

As a Philosophy Quality Assurance Lead, you will review AI-generated philosophy content and the work of trainers and quality reviewers. You will judge each item against project guidelines and provide clear feedback that keeps contributors aligned with quality standards.

You will also help run the review process across remote expert teams by identifying recurring problems, sharing updates, maintaining documentation, and improving workflows as projects change.

• Review explanations of philosophy, argument analyses, ethical reasoning, philosopher summaries, logic problems, and conceptual comparisons.
• Evaluate trainer and QA work for accuracy, rigor, and alignment with project rubrics.
• Check conceptual accuracy, argument structure, logical validity, context, interpretation, clarity, nuance, formatting, and instruction-following.
• Identify strawman arguments, invalid inferences, conceptual confusion, oversimplification, unsupported claims, false equivalence, and misrepresented philosophical views.
• Write precise feedback and escalate recurring or critical quality issues.
• Communicate project updates, quality expectations, and review standards to remote contributors.
• Support onboarding, training calls, documentation, calibration materials, and process improvements.
• Help identify inactive contributors and keep quality workflows moving across remote expert teams.

This is remote, part-time contractor work for an expert-level contributor. The role requires at least 20 hours each week and strong written English for feedback and team communication.

• Pay: Up to $65 per hour.
• Location: Open to candidates in the United States.
• Schedule: 20+ hours per week.
• Background: Strong knowledge of philosophy, ethics, logic, political theory, humanities, religious studies, classics, cognitive science, or a closely related field.
• Experience: At least 3 years in philosophy research, teaching, writing, editing, academic review, ethics review, logic instruction, or related humanities work.
• Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Helpful experience: AI training, data annotation, large language model evaluation, academic QA, ethics review, or rubric-based review.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain helps people discover AI training work and start their application, while the hiring organization handles the role itself.

AI training is the human work behind modern AI systems, including reviewing model responses and rating them against clear standards. People with deep subject knowledge help make those evaluations accurate, so specialist roles such as philosophy quality review require relevant expertise.