Forestry and Land Management Scientist

Forestry and Land Management Scientist (AI Training)

About the Role

We're looking for experienced forestry and land management professionals to help shape how AI understands sustainable forestry, forest ecosystems, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and environmental professionals worldwide.

This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution 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 AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
• Assess content related to forest health, ecosystem management, land use, and sustainability practices
• Identify errors, oversimplifications, or flawed reasoning in AI-generated management recommendations
• Provide clear, structured feedback that helps improve how AI reasons through applied environmental decisions
• Work independently and asynchronously — no meetings, no set hours, just meaningful task-based work

---

Who You Are

• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, sustainable land use, and resource management practices
• Able to critically evaluate applied environmental decision-making and spot where AI reasoning falls short
• Comfortable reading and reviewing written technical content with attention to detail
• Self-motivated and reliable when working independently on remote, asynchronous tasks

---

Nice to Have

• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with land-use planning, conservation programs, or regulatory frameworks
• Familiarity with AI systems, content evaluation workflows, or technical writing

---

Why Join Us

• Work on cutting-edge AI — contribute to some of the most advanced language model training projects in the field
• Fully remote and flexible — set your own hours and work from anywhere
• Autonomy and variety — no two tasks are the same; apply your expertise across diverse real-world scenarios
• Make a real impact — your domain knowledge directly improves how AI handles environmental science
• Global collaboration — work alongside a diverse network of subject matter experts from around the world
• Potential for ongoing work — strong contributors are considered for contract extensions and new projects