Alignerr
Forestry and Land Management Scientist (AI Training)
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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 knowledge will directly influence how AI systems understand, reason about, and communicate complex topics in sustainable forestry, forest health, and land-use management.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI research.
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 depth of AI-generated content related to forest ecosystems, land use, and sustainability
- Identify factual errors, oversimplifications, or flawed management recommendations
- Provide clear, structured feedback to improve AI reasoning on applied environmental topics
- Work independently and asynchronously to complete task-based assignments on your schedule
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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, sustainable management practices, and land-use frameworks
- Ability to critically evaluate applied environmental decision-making scenarios
- Comfortable reviewing and annotating technical written content
- Self-motivated, detail-oriented, 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 frameworks
- Familiarity with AI systems, content evaluation, or data annotation workflows
Why Join Us
- Work on cutting-edge AI projects alongside leading research organizations
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Make a meaningful impact by ensuring AI gets environmental science right
- Potential for ongoing work and contract extension
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