Remote Policy Economist for AI Policy Analysis

Alignerr Corp.; France; Remote; EUR 41,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking economists with public policy experience to shape how the next generation of AI systems understands economic reasoning, policy analysis, and real-world tradeoffs.

This fully remote hourly contract offers flexible scheduling for 10-40 hours per week, with work that can be done asynchronously.

You will review AI-generated policy content, assess regulation, welfare programs, taxation, and applied economic arguments, and provide structured feedback to improve training data.

Qualifications

• 3+ years of experience in public policy, applied economics, or a closely related field.
• Ability to evaluate AI-generated economic analyses for rigor and relevance.
• Strong written communication and 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

Policy analysis

Applied economics

Critical evaluation

Written communication

Independent work

Education

Graduate degree in Economics

Job description

Alignerr Corp. is seeking economists with public policy experience to shape how the next generation of AI systems understands economic reasoning, policy analysis, and real-world tradeoffs.

This fully remote hourly contract offers flexible scheduling for 10-40 hours per week, with work that can be done asynchronously.

You will review AI-generated policy content, assess regulation, welfare programs, taxation, and applied economic arguments, and provide structured feedback to improve training data.