Forestry and Land Management Scientist (AI Training)

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide.

This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.

* 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 practices

* Identify factual errors, oversimplifications, or flawed management recommendations

* Provide structured, expert feedback to improve AI reasoning on applied environmental topics

* Work independently and asynchronously to complete task-based assignments on your schedule

Who You Are

* 3+ years of hands-on experience in forestry, land management, or a closely related field

* Strong understanding of forest ecosystems, silviculture, and sustainable land management principles

* Able to critically evaluate applied environmental decision-making scenarios

* Comfortable reviewing and assessing written technical content

* Detail-oriented, self-motivated, and reliable

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 tech teams

* Fully remote and flexible — set your own hours and work from anywhere

* Freelance perks: autonomy, variety, and global collaboration

* Apply your domain expertise in a meaningful new way

* Potential for ongoing work and contract extension