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 — work that matters for the planet and for the future of environmental AI.

Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Review 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
Identify errors, oversimplifications, or misleading recommendations in AI outputs
Provide clear, structured feedback to improve AI reasoning on applied environmental topics
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 and management recommendations
Comfortable reading and reviewing technical written content with precision
Self-motivated and reliable when working independently on remote projects

Nice to Have

Degree in Forestry, Natural Resources, Environmental Science, or a related field
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 and leading AI organizations
Fully remote and versátil — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and global collaboration
Use your domain expertise in a meaningful new way that shapes real-world AI applications
Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (Buenos Aires)
🏢 Alignerr
📍 Buenos Aires