Philosophy Quality Assurance Lead; QAL

Pay: up to $65/hour

In this hourly, remote contractor role, you will work as a Philosophy Quality Assurance Lead (QAL) to oversee 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.

You will assess work for conceptual accuracy, argument structure, logical validity, philosophical context, interpretation quality, clarity, nuance, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong philosophy expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of Super Annotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your philosophy quality leadership will directly help improve the world’s premier AI models by ensuring that philosophy training data is conceptually precise, logically sound, well-contextualized, nuanced, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

• Quality monitoring:
  Spot-check philosophy items, identify quality issues, provide ongoing feedback through DMs, and escalation 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.

• Bachelor’s, Master’s, or PhD degree in Philosophy, Ethics, Logic, Political Theory,…