Remote Economic Analyst for AI Training & Markets

Alignerr Corp.

United States

Remote

GBP 34,000 - 83,000

Full time

13 hours ago
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Benefits offered by this job

Fully remote
Flexible hours
Autonomy
Meaningful work

Job summary

Alignerr is seeking an Economic Analyst (AI Training) to evaluate and improve AI systems that reason about economics, markets, and policy. You will shape how AI understands macroeconomic trends, interpret data, and convey financial insights, enabling more accurate economic content handling.

Ideal candidates have a strong economics background, analytical writing skills, and the ability to work independently on large volumes of content.

Qualifications

  • Academic or professional background in economics, finance, or a closely related field.
  • Strong analytical writing with ability to translate data into clear insight.
  • Comfortable evaluating large volumes of economic content systematically.
  • Detail-oriented and capable of assessing arguments against real-world data.

Responsibilities

  • Interpret macroeconomic indicators, policy updates, and market releases.
  • Identify economic forces influencing specific sectors, industries, or regions.
  • Evaluate AI-generated economic analysis for accuracy, clarity, and depth.
  • Summarize reports, central bank commentary, and quantitative trends.
  • Provide structured feedback to help AI reason about global economics.
  • Work independently and asynchronously on task-based assignments.

Skills

Analytical writing
Large data handling
Economic reasoning
Independent work

Education

Economics/Finance degree

Tools

Annotation workflows

Job description

Alignerr is seeking an Economic Analyst (AI Training) to evaluate and improve AI systems that reason about economics, markets, and policy. You will shape how AI understands macroeconomic trends, interpret data, and convey financial insights, enabling more accurate economic content handling.

Ideal candidates have a strong economics background, analytical writing skills, and the ability to work independently on large volumes of content.

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