Economics Quality Assurance Lead

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting for this remote opportunity, helping contributors discover specialized projects, build an AI training profile, and grow in a fast-moving field. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. People review model outputs, evaluate reasoning, prepare examples, and provide feedback that helps AI systems become more accurate and useful. This role focuses on evaluating economics content and improving the quality of expert contributions.

• Work remotely with flexible part-time scheduling
• Help shape how advanced AI systems handle economics concepts and reasoning
• Use professional economics expertise in a growing technology field

The Role

As an Economics Quality Assurance Lead, you will oversee quality and consistency across economics-focused AI training projects. You will review AI-generated economics content as well as trainer and QA submissions, evaluate work against project rubrics, provide precise written feedback, and help keep contributor output aligned with expected standards.

This is a remote contractor role for a US-based contributor, with an intermediate experience level, part-time availability, and a commitment of 20 or more hours per week. Compensation is $90 per hour.

• Role type: Contractor and part-time
• Location: United States
• Language: English
• Time commitment: 20+ hours per week
• Pay: $90 per hour

What You’ll Do

You will combine economics expertise, analytical judgment, and structured communication to evaluate complex training work. Your feedback will help trainers and QAs correct recurring issues and produce more reliable, consistent outputs.

• Review economics AI training work for accuracy, reasoning quality, assumption handling, and rubric adherence
• Evaluate economics explanations, calculations, graphs, policy claims, and data interpretation
• Identify flawed assumptions, causal errors, misleading graphs, weak data interpretation, and unsupported conclusions
• Provide clear written feedback to trainers and QAs
• Monitor recurring quality issues and communicate updates to remote contributors
• Maintain style guides, FAQs, trackers, examples, onboarding materials, and other project documentation
• Support onboarding and training for remote expert teams
• Help identify workflow improvements and scalable QA processes
• Help keep contributor workflows active and organized

Requirements

You should have a strong background in economics or a closely related analytical field and be comfortable judging both the correctness and communication quality of economics content. Strong written English is essential for precise feedback and team coordination.

• Strong background in Economics, Applied Economics, Econometrics, Public Policy, Finance, Statistics, Mathematics, or a closely related field
• Experience in economics research, teaching, policy analysis, economic consulting, data analysis, content review, or related analytical workflows
• Strong understanding of microeconomics and macroeconomics
• Knowledge of market structures, supply and demand, elasticity, externalities, monetary and fiscal policy, inflation, unemployment, trade, and economic growth
• Understanding of basic econometric reasoning
• Ability to evaluate detailed rubrics and judge economic accuracy, assumptions, and causal reasoning
• Strong written English for clear feedback and team communication

Preferred Experience

The following experience is preferred or valued for this specialized quality leadership role. Familiarity with analytical tools and structured review environments can help you assess technical economics work across varied formats.

• Regression analysis, causal inference, economic modeling, Excel, R, Python, or Stata
• Use of public datasets, policy briefs, or academic economics writing
• Leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs
• AI training, data annotation, LLM evaluation, economic QA, academic review, or rubric-based review

Why This Opportunity Stands Out

This opportunity is designed for an experienced economics professional who enjoys reviewing complex reasoning, strengthening data quality, and supporting contributors. You will apply specialized knowledge to AI training work while helping improve the workflows used by remote expert teams.

AI training and data labeling are among the fastest-growing ways to work in tech. By reviewing explanations, calculations, policy analysis, and model reasoning, you contribute directly to the development of AI systems while working remotely in a flexible contractor setting.

• Specialized economics quality leadership in AI training
• Remote work for US-based contractors
• Part-time schedule with 20+ hours per week
• Hourly compensation of $90
• Opportunity to influence AI quality through expert evaluation and feedback

How to Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply for this economics AI training opportunity. Highlight your economics background, analytical experience, written English ability, and any work involving QA, LLM evaluation, data interpretation, or rubric-based review.

• Confirm that you can work from the United States
• Showcase relevant economics education and professional experience
• Describe experience reviewing research, policy analysis, data, or economic writing
• Include relevant experience supporting remote teams or quality workflows