About the Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, ecosystem health, and land-use practices. 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 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
- Evaluate the accuracy of AI-generated content related to forest health, land use, and sustainability
- Identify errors, oversimplifications, or misleading recommendations in AI outputs
- Provide structured, expert feedback to improve applied environmental reasoning
- 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 working knowledge of forest ecosystems, management practices, and sustainability principles
- Able to critically evaluate applied environmental decision-making and technical recommendations
- Comfortable reviewing and assessing written technical content with attention to detail
- Self-motivated and reliable — able to work independently without close supervision
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related field
- Experience with land-use planning, conservation programs, or ecological assessment
- Familiarity with AI tools, content evaluation workflows, or data annotation platforms
Why Join Us
- Work on cutting-edge AI projects with top research labs and leading AI organizations
- Fully remote and flexible — design your own schedule around your life
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Use your domain expertise in a meaningful new way that goes beyond traditional fieldwork
- Potential for ongoing work and contract extension as new projects launch