Climate Data Specialist

Alignerr Corp.

Dublin

À distance

EUR 55 000 - 110 000

Temps partiel

Il y a 31 heures
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Résumé du poste

Alignerr is seeking a Climate Data Specialist (AI Training) to apply climate science expertise in developing complex problem sets that train AI models. This fully remote, hourly contract role invites researchers to work asynchronously on real-world environmental challenges.

Ideal candidates hold a Master’s or PhD in environmental sciences and are proficient in Python or R, with strong communication skills and the ability to work independently across time zones.

Qualifications

  • Master's or PhD in Environmental Science, Climate Science, Ecology or related field.
  • Strong Python or R experience for research or data analysis.
  • Excellent written and verbal communication in English.

Responsabilités

  • Design and develop climate/environmental science problems with real-world relevance for AI training.
  • Apply climate modeling, ecology, sustainability, or related disciplines to craft rigorous problem sets.
  • Collaborate asynchronously with AI researchers and domain experts to improve model reasoning.
  • Evaluate scientific accuracy and clarity of AI outputs in your domain.
  • Ensure deliverables meet high standards of rigor and communication quality.

Connaissances

Climate modeling
Ecology
Environmental data analysis
Python
R
English

Formation

Master's/PhD in Env Sci

Outils

Python
R

Description du poste

About The Role

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI reasons about one of the most important challenges facing our planet? We're looking for Climate Data Specialists — environmental scientists with advanced degrees — to develop complex, real-world problems that train cutting-edge AI models to think more rigorously about climate and environmental science.

Climate Data Specialist (AI Training)

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI reasons about one of the most important challenges facing our planet? We're looking for Climate Data Specialists — environmental scientists with advanced degrees — to develop complex, real-world problems that train cutting-edge AI models to think more rigorously about climate and environmental science.

This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their deep scientific knowledge to frontier AI development.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You’ll Do
  • Design, solve, and review advanced environmental science problems with genuine real-world relevance
  • Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to construct complex, rigorous problem sets
  • Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning
  • Evaluate the scientific accuracy, depth, and clarity of AI-generated outputs in your area of expertise
  • Ensure all deliverables meet high standards of scientific rigor and communication quality
Who You Are
  • Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
  • Experienced with Python or R for research or data analysis
  • Deep subject matter expertise in climate modeling, ecology, sustainability, or environmental systems
  • Exceptionally clear written communicator — able to explain complex concepts with precision
  • Detail-oriented, methodical, and comfortable working independently in an asynchronous environment
  • Fluent in English
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation workflows
  • Background in interdisciplinary environmental research spanning multiple subfields
  • Familiarity with AI tools or large language models as an end user
  • Experience designing or grading advanced academic problem sets
Why Join Us
  • Work at the frontier of AI development alongside leading research labs
  • Fully remote and asynchronous — work when and where it suits you
  • Freelance autonomy with the structure and consistency of ongoing project-based work
  • Apply your scientific expertise to problems that matter at a global scale
  • Contribute to AI systems that will reason about climate and environmental science for years to come
  • Potential for ongoing work and contract extension as new projects launch
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