Environmental Management Scientist (AI Training)

Alignerr

Date: 1 week ago
City: Sydney, New South Wales
Est. A$180,529 - A$213,155 / yr
Contract type: Contractor
Remote

About The Role

We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of next-generation AI systems — making them more useful for environmental professionals everywhere.

  • Organization: Alignerr (Powered by Labelbox)
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations
  • Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
  • Identify gaps between AI outputs and real-world environmental practice
  • Provide clear, structured feedback to improve the accuracy and applicability of AI-generated content
  • Work independently and asynchronously — on a schedule that works for you

Who You Are

  • 3+ years of hands-on experience in environmental management, conservation, or a related field
  • Strong working knowledge of sustainability frameworks and environmental planning principles
  • Able to critically evaluate written environmental analyses and identify weaknesses
  • Comfortable providing detailed, well-organized written feedback
  • Self-motivated and reliable in an independent, remote setting

Nice to Have

  • Master's degree in Environmental Management, Environmental Science, or a related discipline
  • Experience with environmental policy, regulatory compliance, or permitting frameworks
  • Familiarity with AI tools, content evaluation, or data annotation workflows

Why Join Us

  • Work on cutting-edge AI projects with top research labs
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that helps AI better serve the environmental science community
  • Potential for ongoing work and contract extension

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