Forestry and Land Management Scientist (AI Training)

About the role

Alignerr is seeking experienced forestry and land‑management scientists to help train AI systems that support sustainable forest and land‑use decisions. This fully remote, task‑based contract lets you work on your own schedule while contributing to cutting‑edge AI research used worldwide.

Key responsibilities

• Review and evaluate forestry and land‑management scenarios included in AI training datasets.
• Assess the accuracy and soundness of AI‑generated content related to forest health, land use, and sustainability.
• Identify factual errors, oversimplifications, or flawed management recommendations.
• Provide clear, structured feedback to improve AI reasoning on applied environmental topics.
• Complete task‑based assignments independently and asynchronously.

Required profile

• Minimum 3 years of hands‑on experience in forestry, land management, or a closely related field.
• Strong knowledge of forest ecosystems, silviculture, and sustainable land‑management practices.
• Ability to critically evaluate technical environmental decision‑making scenarios.
• Self‑motivated and reliable, capable of delivering quality work without close supervision.

Required skills

• Land management
• Sustainable land‑management practices
• Data annotation workflows
• Forestry
• Silviculture
• Content evaluation
• Forest ecosystems

What we offer

• Work on cutting‑edge AI projects with top research labs.
• Fully remote and flexible schedule.
• Freelance autonomy, variety, and global collaboration.
• Opportunity to make a meaningful impact by ensuring AI gets environmental science right.
• Potential for ongoing work and contract extension.