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

Solid 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

📌 Forestry and Land Management Scientist (AI Training) (Vancouver)
🏢 Alignerr
📍 Vancouver