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Economics Researcher

Crossing Hurdles

Remote · Vertrag

Bewerben Sie sich als Erste/r!

Erfahrung
3+ Jahre
Gehalt
USD 400,000 – USD 800,000 / year
Stellenangebote
1
Veröffentlicht
vor 2 Tagen
Arbeitsmodus
Arbeiten von zu Hause
Ausbildung
PhD in Economics or related quantitative field
Wieder aufnehmen
Bewerbung erforderlich

Stellenbeschreibung

Position Overview

Join Crossing Hurdles as a full-time Member of Technical Staff specializing in Economics Research. This remote role involves dedicating between 10 to 40 hours per week, with a highly competitive annual salary range from 400000 to 800000 USD. The role demands strong collaboration with multi-disciplinary teams to push the boundaries of AI evaluation in economic contexts.

Primary Responsibilities

  • Design and enhance evaluation frameworks including benchmarks and scoring systems to assess AI's performance in economic domains.
  • Carry out research focused on economic reasoning and empirical methods aimed at improving AI capabilities.
  • Create datasets and develop benchmarking environments that simulate challenges encountered in real-world economic research.
  • Work closely with researchers, economists, engineers, and product teams to refine AI models specialized in economics.
  • Examine AI model behaviors and failure patterns to discover new avenues for research.
  • Utilize econometric techniques and statistical analyses to assess AI on economic tasks.
  • Produce detailed technical documents and disseminate research outcomes to advance the evaluation of AI systems in economics.

Qualifications and Requirements

  • Possess a PhD in Economics or a closely related quantitative field.
  • Have at least three years of applied economic research experience following the PhD.
  • Expertise in disciplines such as labor economics, macroeconomics, or the economics of AI.
  • Strong proficiency in econometrics, applied microeconomics, and causal inference methodologies.
  • Experience managing large datasets with SQL and programming proficiency in Python or R for statistical analysis.
  • Proven track record of conducting empirical research or crafting analytical methods.
  • Excellent communication skills, both written and verbal.

Additional Information

  • Application procedures include online submission, followed by resume evaluation and interviews.

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