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Economics Expert (PhD)

Micro1

Data Annotation & Labeling Full-time
Remote (Global) $80 – $90/hr July 14, 2026

Job description

Role Title: Economics Expert (PhD)

Role Type: Contractor

Location: Remote

micro1 is engaging Economics Experts (PhD) to contribute advanced subject-matter expertise to a customer's AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

  1. Produce precise, comprehensive, and well-articulated responses to advanced economics prompts, focusing on clarity, depth, and educational value rather than rubric-based scoring.
  2. Review and validate economics data, queries, and proposed solutions to ensure accuracy, completeness, and alignment with current methodologies.
  3. Develop robust explanations and justifications across a spectrum of economics concepts, from foundational principles to specialized topics.
  4. Collaborate with annotation leads and project managers to refine project requirements, ensuring delivery of top-quality content for AI model advancement.
  5. Create "golden responses" that serve as benchmarks for model training, setting high standards for future outputs.
  6. Document the context and rationale behind each response to enhance model interpretability and support further annotation efforts.
  7. Participate in remote discussions and workshops to clarify strategic objectives and foster cohesive contributor alignment.

Preferred Qualifications

  1. PhD in Economics or a closely related field with proven expertise in both core and specialized areas of economics.
  2. Exceptional ability to communicate complex economics concepts with precision and clarity, both in writing and verbally.
  3. Demonstrated experience developing, reviewing, or publishing scientific, technical, or educational economics materials (e.g., peer-reviewed articles, research reports, curriculum).
  4. Broad familiarity with multiple economics sub-disciplines (such as microeconomics, macroeconomics, econometrics, behavioral economics, labor, or international economics), and adaptability in tailoring explanations for varied audiences.
  5. Strong attention to detail with a dedication to analytical rigor and methodological accuracy.
  6. Background in AI, data annotation, or digital content projects is advantageous but not mandatory.
  7. Proven collaboration skills, especially in remote or cross-functional project environments.
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