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, policymakers, and conservation professionals worldwide.
This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
- Evaluate content related to forest health, biodiversity, land use, and sustainability practices
- Identify errors, oversimplifications, or misleading recommendations in AI outputs
- Assess the quality of applied environmental decision-making presented by AI systems
- Provide clear, structured feedback that helps improve AI reasoning and reliability
- Work independently and asynchronously — no meetings required
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 techniques, and sustainability principles
- Able to critically evaluate applied environmental recommendations and flag inaccuracies
- Comfortable reviewing and providing feedback on written technical content
- Self-motivated, detail-oriented, and reliable
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 real-world environmental impact
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Gain exposure to advanced AI systems and how large language models are trained
- Potential for ongoing work and contract extension