Forestry and Land Management Scientist (AI Training)
Alignerr
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 systems understand, reason about, and communicate sustainable forestry practices, forest health, and land-use decision-making. This is a fully remote, flexible contract role - work on your own schedule while contributing to cutting-edge AI development.
- Organization
: Alignerr (Powered by Labelbox) - Type
: Hourly / Task-based Contract - Location
: Remote - Commitment
: 10-40 hours/week
- 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 AI outputs
- Provide clear, structured feedback that improves AI reasoning in applied environmental contexts
- Evaluate complex management recommendations against real-world scientific standards
- Work independently and asynchronously to complete task-based assignments on your schedule
- 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
- Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
- Comfortable reviewing and assessing written technical content at scale
- Self-motivated, detail-oriented, and reliable
- 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, content evaluation, or data annotation workflows
- Work on cutting-edge AI projects with top research labs and technology teams
- Fully remote and flexible - set your own hours and work from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Directly apply your scientific expertise to real-world AI improvement
- Potential for ongoing work and contract extension
Vacancy posted 1 day ago
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