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 the accuracy and reliability of AI systems used by researchers, practitioners, and conservationists worldwide.
This is a fully remote, flexible contract role — work on your own schedule and make a meaningful contribution to cutting-edge AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review AI-generated forestry and land management scenarios for factual accuracy and practical soundness
- Assess content related to forest health, ecosystem dynamics, land use planning, and sustainability practices
- Identify errors, oversimplifications, or misleading recommendations in AI outputs
- Provide clear, structured feedback that helps improve AI reasoning and applied decision-making
- Work independently and asynchronously on task-based assignments that fit 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 strategies, and sustainability frameworks
- Able to critically evaluate applied environmental and land-use decision-making
- Comfortable reading and assessing technical written content
- Detail-oriented and self-motivated with the ability to work independently
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
- Experience with land-use planning, conservation programs, or regulatory compliance
- Familiarity with AI systems or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better understand the natural world
- Potential for ongoing work and contract extension