About The Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your field expertise will directly influence how next-generation AI systems reason about environmental decision-making — making a real-world impact from wherever you work.
• 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 and quality of AI-generated content related to forest health, land use, and sustainability
• Identify errors, oversimplifications, or misleading recommendations in AI outputs
• Provide clear, structured feedback to improve applied environmental reasoning in AI systems
• Work independently and asynchronously on your own schedule Who You Are
• 3+ years of hands-on experience in forestry, land management, or a closely related field




• Strong working knowledge of forest ecosystems, silviculture, and land-use planning
• Able to critically evaluate applied environmental and management decision-making
• Comfortable reviewing and assessing written technical content
• Detail-oriented, self-motivated, and reliable Nice to Have
• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with conservation programs, land-use planning, or regulatory frameworks
• Familiarity with AI content evaluation or data annotation workflows Why Join Us
• Work on cutting-edge AI projects with top research labs
• Fully remote and versátil — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI understands the natural world
• Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México