Economics QA Lead - Remote

Key Responsibilities

• Quality monitoring: Spot-check economics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Economics review: Evaluate AI-generated economics explanations, calculations, graphs, policy analyses, data interpretations, and step-by-step reasoning for accuracy and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and economics-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around economic models, assumptions, formulas, graphs, causal claims, data interpretation, 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 economics 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 economics-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply economics-review guidelines consistently and understand updates as projects evolve.
• Risk review: Flag overconfident, misleading, politically biased, statistically weak, or assumption-free economic claims.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for economics AI training projects.

About the role

This hourly, remote contractor role involves overseeing quality, consistency, and trainer performance across economics-focused AI training projects. You will review AI-generated economics 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.