Remote Atmospheric Science AI Researcher

Alignerr Corp.

United States

Remoto

MXN 1.526.000 - 3.052.000

Part-time

18 ore fa
Candidati tra i primi

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Descrizione del lavoro

Alignerr is seeking an Atmospheric Science Expert for AI training. This remote hourly contract invites researchers to design, solve, and review advanced atmospheric problems rooted in real-world climate science and earth systems to push AI reasoning to its limits.

You will apply climate modeling, meteorology, ecology, or sustainability expertise to craft rigorous problem sets, evaluate AI-generated reasoning for accuracy and depth, and collaborate asynchronously with AI researchers while

Competenze

  • Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field.
  • Deep expertise in climate modeling, atmospheric dynamics, meteorology, ecology, or sustainability science.
  • Comfortable coding in Python or R for research or quantitative analysis.
  • Exceptional written communication skills and the ability to translate complex science into clear, structured problem statements.
  • Fluent in English.

Mansioni

  • Develop, solve, and review advanced atmospheric science problems grounded in real-world relevance
  • Apply your expertise in climate modeling, meteorology, ecology, or sustainability to design complex, rigorous problem sets
  • Evaluate AI-generated scientific reasoning for accuracy, depth, and scientific integrity
  • Collaborate asynchronously with AI researchers and fellow domain experts to push the quality of AI scientific reasoning forward
  • Ensure scientific rigor, clarity, and depth across all deliverables
  • Work independently on task-based assignments fully on your own schedule

Conoscenze

Atmospheric science
Climate modeling
Python
R
Scientific writing
English fluency

Formazione

Master's or PhD in Atmospheric Science / Climate Science / Environmental Science

Descrizione del lavoro

Alignerr is seeking an Atmospheric Science Expert for AI training. This remote hourly contract invites researchers to design, solve, and review advanced atmospheric problems rooted in real-world climate science and earth systems to push AI reasoning to its limits.

You will apply climate modeling, meteorology, ecology, or sustainability expertise to craft rigorous problem sets, evaluate AI-generated reasoning for accuracy and depth, and collaborate asynchronously with AI researchers while

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