Atmospheric Science Expert (Masters/PhDs)

Alignerr

Brasil

Remoto

BRL 455.000 - 910.000

Part-time

32 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Alignerr is seeking an Atmospheric Science Expert to design and evaluate advanced problems that train AI models to reason about climate dynamics and ecosystems.

This remote hourly contract invites specialists with a Master's or PhD and strong Python or R skills to work asynchronously with AI researchers.

You will help ensure scientific accuracy, depth, and clarity in every deliverable, with opportunities for ongoing engagements.

Competenze

  • Holds a Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or related field.
  • Experienced with Python or R for scientific research or data analysis.
  • Deep expertise in climate modeling or atmospheric dynamics.

Mansioni

  • Design, solve, and review advanced atmospheric science problems for AI training.
  • Apply expertise in climate science to build nuanced problem sets for AI models.
  • Evaluate AI-generated reasoning for accuracy and rigor.
  • Collaborate asynchronously with AI researchers to improve model performance.
  • Ensure deliverables meet scientific clarity and depth.

Conoscenze

Python
R
Climate modeling
Atmospheric dynamics
Science communication

Formazione

Master's or PhD in Atmospheric Science or closely related field

Strumenti

Jupyter
Git

Descrizione del lavoro

Atmospheric Science Expert (AI Training)
About The Role

What if your deep expertise in atmospheric science could directly shape how AI understands our planet's most complex systems — from climate dynamics to ecosystem resilience? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models to reason at a graduate level and beyond.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design, solve, and critically review advanced atmospheric science problems with real-world scientific relevance
  • Apply your expertise in climate modeling, meteorology, ecology, or sustainability to build complex, nuanced problem sets
  • Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological rigor
  • Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance
  • Ensure all deliverables meet high standards of scientific clarity, precision, and depth
Who You Are
  • Holds a Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field
  • Experienced with Python or R for scientific research or data analysis
  • Deep subject matter expertise in one or more of: climate modeling, atmospheric dynamics, ecology, or sustainability science
  • Exceptionally clear written communicator — you can explain complex ideas with precision and accessibility
  • Self-directed and dependable when working independently in an asynchronous environment
  • Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Background in academic research, peer review, or scientific publishing
  • Familiarity with AI tools or machine learning concepts as an end user or researcher
  • Experience communicating technical findings to non-specialist audiences
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs and AI scientists
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, intellectually stimulating work
  • Directly contribute to how AI models understand and reason about climate, atmosphere, and the natural world
  • Potential for ongoing work and contract extension as new projects launch
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