Alignerr
Forestry and Land Management Scientist (AI Training)
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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 decision-making. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how these tools support environmental professionals worldwide.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate AI-generated forestry and land management scenarios for scientific accuracy
- Assess content related to forest health, land use planning, and sustainability practices
- Identify errors, oversimplifications, or flawed reasoning in management recommendations
- Provide clear, structured feedback that helps AI systems reason more accurately about real-world environmental decisions
- Work independently and asynchronously on a schedule that fits your life
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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, or sustainable land-use practices
- Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
- Comfortable reviewing and responding to written technical content
- Self-motivated and reliable when working independently
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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 schedule, wherever you are
- Contribute to meaningful work that improves how AI handles real environmental science
- Freelance perks: autonomy, variety, and global collaboration
- Potential for ongoing work and contract extension
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