About the Role
We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — making a real-world impact from your home office.
This is a remote, flexible contract role that fits around your schedule. Whether you're currently working in the field or looking for meaningful supplemental work, this is a rare opportunity to bring your scientific knowledge into the AI space.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review forestry and land management scenarios used in AI training datasets
- Assess the accuracy and quality of AI-generated content related to forest health, land use, and sustainability
- Identify errors, oversimplifications, or misleading recommendations in management guidance
- Provide clear, structured feedback that improves AI reasoning in applied environmental contexts
- 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, land-use planning, and sustainable management practices
- Able to critically evaluate applied environmental decision-making and technical written content
- Detail-oriented, self-motivated, and comfortable working independently
- No prior AI experience required — your scientific expertise is what matters
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
- Experience with conservation programs, land-use policy, or environmental assessments
- 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, wherever you are
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension