Legal QA Lead - Remote

Key responsibilities

• Quality monitoring: Spot-check legal items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Legal review: Evaluate AI-generated legal explanations, legal research responses, contract analyses, policy interpretations, case summaries, compliance guidance, and issue-spotting workflows for accuracy, clarity, and appropriate caution.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and legal-review-specific standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around legal reasoning, jurisdiction, citations, source quality, disclaimers, contract language, compliance interpretation, and rubric application.
• 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 legal 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 legal-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply legal-review guidelines consistently and understand updates as projects evolve.
• Risk and safety review: Flag unsafe, misleading, overconfident, or jurisdictionally inappropriate legal outputs, especially where the content could be interpreted as personalized legal advice.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for legal AI training projects.

About the role

In this hourly, remote contractor role, you will work as a Legal Quality Assurance Lead to oversee quality, consistency, and trainer performance across legal AI training projects. You will review AI-generated legal 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 legal reasoning quality, issue spotting, jurisdictional awareness, citation and source handling, clarity, risk awareness, 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.