About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and environmental decision-making. Your field expertise will directly influence how next-generation AI systems reason about forest ecosystems — making a real-world impact from wherever you work.

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

What You'll Do

Review and evaluate forestry and land management scenarios used in AI training datasets
Assess the scientific accuracy of content related to forest health, land use, biodiversity, and sustainability practices
Identify errors, oversimplifications, or misleading recommendations in AI-generated management guidance
Provide clear, structured feedback to improve the applied reasoning of AI systems
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 spot technical inaccuracies
Comfortable reading and reviewing written technical content with precision
Self-motivated and reliable when working independently

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 and technology teams
Fully remote and flexible — complete tasks on your own schedule
Freelance perks: autonomy, variety, and collaboration with a general expert community
Contribute to meaningful work that helps AI get environmental science right
Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (España)
🏢 Alignerr
📍 España