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Forestry and Land Management Scientist (AI Training)
Job description
Forestry and Land Management Scientist (AI Training)
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 understands and communicates sustainable forestry practices, forest health, and land-use decision-making — work that has real-world impact on how these critical topics are represented in AI systems.
- 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
- Assess the accuracy and quality of AI-generated content related to forest health, land use, and sustainability
- Identify errors, oversimplifications, or flawed recommendations in AI-generated management guidance
- Provide clear, structured feedback to improve applied reasoning in AI systems
- Work independently and asynchronously on a schedule that fits your lifestyle
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 content
- Detail-oriented with clear written communication skills
- Self-motivated and comfortable working independently on remote, task-based assignments
- No prior AI experience required
Nice to Have
- Degree in Forestry, Natural Resources, Environmental Science, or a related field
- Experience with land-use planning, conservation programs, or regulatory frameworks
- Familiarity with AI tools or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with leading research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI handles environmental and sustainability topics
- Potential for ongoing work and contract extension
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