Remote Public Policy Economist for AI Training

Alignerr Corp.; France; Remote; EUR 34,000 - 83,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy

Global collaboration

Job summary

Alignerr Corp. is seeking economists with public policy experience to shape how AI systems understand economic reasoning, policy analysis, and real-world tradeoffs. This remote, hourly contract lets you influence regulation, welfare programs, and fiscal policy.

You will review AI-generated policy content, evaluate economic arguments, and provide structured feedback to improve training data. Work independently and asynchronously on your own schedule, 10–40 hours per week.

Qualifications

• 3+ years of experience in public policy, applied economics, or a closely related field.
• Strong ability to analyze policy tradeoffs and evidence-based reasoning.
• Ability to critically evaluate written economic arguments and recommendations.
• Clear, precise written communicator with attention to detail.

Responsibilities

• Review and evaluate AI-generated public policy content and applied economics analysis for accuracy, rigor, and real-world relevance
• Assess economic reasoning related to regulation, welfare, taxation, and public programs
• Identify flawed assumptions, logical gaps, or misleading conclusions in AI outputs
• Provide structured, detailed written feedback to improve the quality of AI training data
• Validate economic scenarios, policy recommendations, and supporting arguments
• Work independently and asynchronously on your own schedule

Skills

Public policy analysis

Applied economics

Economic reasoning

Written communication

Education

Graduate degree in Economics or Public Policy

Job description

Alignerr Corp. is seeking economists with public policy experience to shape how AI systems understand economic reasoning, policy analysis, and real-world tradeoffs. This remote, hourly contract lets you influence regulation, welfare programs, and fiscal policy.

You will review AI-generated policy content, evaluate economic arguments, and provide structured feedback to improve training data. Work independently and asynchronously on your own schedule, 10–40 hours per week.