About The Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. Your field expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide. This is a fully remote, adaptable contract role — work on your own schedule while contributing to cutting-edge AI development.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
•

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

What You'll Do
• Review and evaluate 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 management recommendations in AI outputs
• Provide structured, expert feedback to improve applied environmental reasoning in AI systems
• Work independently and asynchronously to complete task-based assignments 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 sustainable land-use practices
• Able to critically evaluate applied environmental decision-making and management recommendations
• Comfortable reading and reviewing technical written content with precision
• Self-motivated and reliable when working independently in a remote setting 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 tools, content evaluation workflows, or data annotation platforms Why Join Us
• Work on cutting-edge AI projects with top research labs and technology organizations
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Make a real impact by ensuring AI systems reflect accurate, real-world forestry science
• Potential for ongoing work and contract extension based on performance

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