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Environmental Management Scientist (AI Training)

Alignerr

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 AI systems used by researchers, policymakers, and practitioners worldwide.

This is a fully remote, flexible contract role where your knowledge genuinely matters — you're not just reviewing content, you're helping AI get environmental science right.

  • Organization: Alignerr (Powered by Labelbox)
  • Type: Hourly / Task-based 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 theoretical approaches and real-world environmental practice
  • Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
  • Work independently and asynchronously on your own schedule

Who You Are

  • 3+ years of hands-on experience in environmental management, conservation, or a related field
  • Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
  • Able to critically evaluate written environmental analyses with a practiced eye
  • Skilled at delivering detailed, structured, and constructive feedback
  • Self-motivated and comfortable managing your own workload remotely

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 systems, 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, anywhere
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that improves how AI handles real environmental challenges
  • Exposure to advanced large language models (LLMs) and how they're trained
  • Potential for ongoing work and contract extension
Vacancy posted 9 hours ago
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