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