Environmental Management Scientist; AI Training

We're looking for experienced 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 being trained on complex environmental topics — work that matters far beyond the screen.

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

We're looking for experienced 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 being trained on complex environmental topics — work that matters far beyond the screen.

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

• 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, depth, and applicability of AI outputs
• Work independently and asynchronously on task-based assignments that fit your schedule

• 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 practitioner’s eye
• Comfortable providing detailed, well-organized written feedback
• Self‑motivated and reliable — you can meet deadlines without micromanagement

• 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 or content evaluation workflows

• Work on cutting‑edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule, anywhere in the world
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI handles critical environmental topics
• Potential for ongoing work and contract extension