Climate Science AI Researcher (Remote Contract)

Alignerr Corp.

Sydney

On-site

AUD 79,000 - 157,000

Part time

14 hours ago
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Job summary

Alignerr seeks Environmental Science experts (Masters/PhD) to design and train AI models by formulating rigorous environmental science problems with real-world relevance. This fully remote hourly contract invites researchers to contribute independently and flexibly, applying climate modeling, ecology, and sustainability expertise to enhance AI reasoning.

Applicants should be fluent in English and able to work asynchronously with AI researchers.

Qualifications

  • Master's or PhD in Environmental Science or a closely related field.
  • Expertise in climate modeling, ecology, sustainability, or related disciplines.
  • Strong written communication and ability to explain complex science clearly.

Responsibilities

  • Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor.
  • Apply deep expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, nuanced problem statements.
  • Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning and accuracy.
  • Evaluate AI-generated scientific content for accuracy, depth, and clarity.
  • Ensure all deliverables meet high standards of scientific precision and communicative clarity.
  • Work independently on task-based assignments at your own pace and schedule.

Skills

Climate modeling
Ecology
Sustainability
Environmental policy
Earth systems science
Python
R
Written communication
Detail-oriented
Independent work

Education

Master's or PhD in Environmental Science or related field

Tools

Python
R

Job description

Alignerr seeks Environmental Science experts (Masters/PhD) to design and train AI models by formulating rigorous environmental science problems with real-world relevance. This fully remote hourly contract invites researchers to contribute independently and flexibly, applying climate modeling, ecology, and sustainability expertise to enhance AI reasoning.

Applicants should be fluent in English and able to work asynchronously with AI researchers.

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