About the Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and environmental decision-making. Your field expertise will directly influence how next-generation AI systems reason about forest ecosystems — making a real-world impact from wherever you work.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate forestry and land management scenarios used in AI training datasets
- Assess the scientific accuracy of content related to forest health, land use, biodiversity, and sustainability practices
- Identify errors, oversimplifications, or misleading recommendations in AI-generated management guidance
- Provide clear, structured feedback to improve the applied reasoning of 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 sustainable land-use practices
- Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
- Comfortable reading and reviewing written technical content with precision
- Self-motivated and reliable when working independently
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
- 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 technology teams
- Fully remote and flexible — complete tasks on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension