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.

Qualifications

• Bachelor’s, Master’s, or PhD degree in Economics, Applied Economics, Econometrics, Public Policy, Finance, Statistics, Mathematics, or a closely related quantitative/social science field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in economics research, teaching, policy analysis, economic consulting, data analysis, econometrics, content review, or related analytical workflows.
• Strong understanding of microeconomics, macroeconomics, market structures, incentives, supply and demand, elasticity, externalities, monetary/fiscal policy, inflation, unemployment, trade, growth, and basic econometric reasoning.
• Ability to evaluate economics content against detailed rubrics and identify issues such as incorrect assumptions, flawed causal reasoning, wrong formulas, misleading graphs, unsupported policy claims, poor data interpretation, or oversimplified conclusions.
• Familiarity with tools or methods such as regression analysis, causal inference, economic modeling, Excel, R, Python, Stata, public datasets, policy briefs, and academic economics writing is preferred.
• Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
• Experience with AI training, data annotation, LLM evaluation, economic QA, academic review, or rubric-based review is a strong plus.