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Remote Economics Expert (PhD)Micro1 • Washington, District of Columbia, US
Remote Economics Expert (PhD)

Remote Economics Expert (PhD)

Micro1 • Washington, District of Columbia, US
11 days ago
Salary
$80.00 hourly
Job type
  • Full-time
  • Remote
Job description
Economics Expert (PhD)$80 - $90/hourpay

Required Skills

economicsPhDmicroeconomicsmacroeconomicsattention to detail

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

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.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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Remote Economics Expert (PhD) • Washington, District of Columbia, US

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