About The Role
We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real impact on how these critical topics are represented in next-generation AI tools.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
•

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

What You'll Do
• Review forestry and land management scenarios used in AI training datasets
• Assess the accuracy of AI-generated content related to forest health, land use, and sustainability practices
• Identify factual errors, oversimplifications, or flawed reasoning in management recommendations
• Provide clear, structured feedback to improve the quality of AI-generated applied reasoning
• Work independently and asynchronously on your own schedule Who You Are
• 3+ years of hands-on experience in forestry, land management, or a related field
• Strong understanding of forest ecosystems, silviculture,



and land management principles
• Able to critically evaluate applied environmental and resource management decision-making
• Comfortable reviewing and assessing written technical content with precision
• Self-motivated, reliable, and able to meet deadlines without close supervision
• No prior AI experience required 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 top research labs shaping the future of AI
• Fully remote and versatile — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and meaningful work with real-world impact
• Contribute to ensuring AI gets environmental science right — for researchers, practitioners, and policymakers who rely on it
• Potential for ongoing work and contract extension

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