Development Economist

About the role

We're looking for development economists to help shape how AI understands global and development economics. Your expertise will directly influence the accuracy, nuance, and real-world relevance of AI systems tackling some of the world's most complex economic challenges — from poverty and inequality to growth and international development. This is a fully remote, flexible contract role where your knowledge makes a tangible difference.

Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week

Responsibilities

• Review and evaluate development economics questions, scenarios, and explanations used in AI training
• Assess the quality of AI-generated reasoning on topics such as economic growth, inequality, poverty reduction, and global development
• Provide structured, expert feedback to improve the accuracy, depth, and contextual nuance of AI outputs
• Apply your academic or real-world experience to validate economic scenarios and policy reasoning
• Work independently and asynchronously on your own schedule

Requirements

• 3+ years of experience teaching, researching, or working in development economics
• Strong command of global economic issues, development theory, and data interpretation
• Able to critically evaluate written economic reasoning and identify gaps or inaccuracies
• Comfortable working with structured review tasks and providing clear written feedback
• Self-motivated and reliable when working independently

Skills

• Graduate degree in Economics or a related field (nice to have)
• Experience working with NGOs, international policy organizations, or field research (nice to have)
• Familiarity with AI systems or content evaluation workflows (nice to have)

Benefits

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to how advanced large language models are trained and evaluated
• Contribute to meaningful work that improves how AI reasons about global economic issues
• Potential for ongoing work and contract extension