About The Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals worldwide. This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
•

Location:
Remote
• Commitment: 10–40 hours/week

What You'll Do
• Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
• Evaluate content related to forest health, biodiversity, land use, and sustainability practices
• Identify errors, oversimplifications, or misleading recommendations in AI outputs
• Assess the quality of applied environmental decision-making presented by AI systems
• Provide explicit, structured feedback that helps improve AI reasoning and reliability




• Work independently and asynchronously — no meetings required Who You Are
• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, management techniques, and sustainability principles
• Able to critically evaluate applied environmental recommendations and flag inaccuracies
• Comfortable reviewing and providing feedback on written technical content
• Self-motivated, detail-oriented, and reliable Nice to Have
• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with land-use planning, conservation programs, or regulatory compliance
• Familiarity with AI systems or content evaluation workflows Why Join Us
• Work on cutting-edge AI projects with real-world environmental impact
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Gain exposure to advanced AI systems and how large language models are trained
• Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (Mumbai)
🏢 Alignerr
📍 Mumbai