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 ecosystems, and land-use practices. Your field expertise will directly influence how next-generation AI systems reason about environmental decision-making --- making a real-world impact from wherever you work.

* 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 and quality 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 applied environmental reasoning in 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 land-use planning
* Able to critically evaluate applied environmental and management decision-making
* 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 discipline
* Experience with conservation programs, land-use planning, or regulatory frameworks
* Familiarity with AI content evaluation or data annotation 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 improves how AI understands the natural world
* Potential for ongoing work and contract extension