Forestry and Land Management Scientist (AI Training)

Original job posting

Review AI-generated forestry and land-management scenarios for scientific accuracy and practical soundness, identifying errors, oversimplifications, and flawed reasoning. Provide structured expert feedback to improve AI models’ reasoning about applied environmental problems.

Job details

About The Role We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — making a real-world impact on how this technology is used in environmental decision-making. 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, land use, sustainability, and ecosystem management Identify errors, oversimplifications, or flawed reasoning in AI-generated recommendations Provide structured, expert feedback to improve how AI models reason through applied environmental problems 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 sustainable land-use practices Able to critically evaluate applied environmental decision-making scenarios Comfortable reading and reviewing written technical content Self-motivated and reliable — 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 frameworks Familiarity with AI systems or content evaluation workflows Why Join Us Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that ensures AI gets environmental science right Potential for ongoing work and contract extension

What you’ll do

Review AI-generated forestry and land-management scenarios for scientific accuracy and practical soundness, identifying errors, oversimplifications, and flawed reasoning. Provide structured expert feedback to improve AI models’ reasoning about applied environmental problems.

Requirements

Candidates need at least three years of hands-on experience in forestry, land management, or a closely related field, along with working knowledge of forest ecosystems, silviculture, and sustainable land-use practices. They must be able to evaluate environmental decision-making scenarios and review technical writing; a relevant degree and experience with planning, conservation, regulation, or AI evaluation are preferred.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Varied Work
• Global Collaboration
• Potential for Ongoing Work and Contract Extension

Listed skills

• Évaluation · Preferred
• Technical · Preferred
• Organization · Preferred
• Training · Preferred
• Collaboration · Preferred
• Health · Preferred
• Planning · Preferred
• management · Preferred
• Decision Making · Preferred
• Accuracy · Preferred
• Flexible · Preferred
• discipline · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Forestry
• Land Management
• Forest Ecosystems
• Silviculture
• Sustainable Land-Use Practices
• Forest Health
• Sustainability
• Ecosystem Management
• Environmental Decision-Making
• Scientific Accuracy Assessment
• Critical Evaluation
• Technical Content Review
• Land-Use Planning
• Conservation Programs
• Regulatory Frameworks
• Structured Feedback

Job areas

• Environmental & Sustainability
• Science & Research
• Agriculture
• Technology