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Environmental Management Scientist (AI Training)

$30-55/hrRemoteFreelanceSTEM

About the Role

We're looking for experienced environmental management professionals to help shape the next generation of AI systems. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates complex environmental topics — making a meaningful impact on how these systems serve researchers, policymakers, and practitioners worldwide.

  • 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 environmental models and real-world 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 and spot where reasoning falls short
  • Comfortable providing detailed, structured written feedback
  • Self-motivated and reliable when working independently

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 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 improves how AI handles real-world environmental challenges
  • Potential for ongoing work and contract extension