About the Role
We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real-world impact from wherever you work.
- 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 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 to improve how AI reasons through applied environmental problems
- 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 understanding of forest ecosystems, silviculture, and sustainable land-use practices
- Able to critically evaluate applied environmental decision-making and technical content
- Comfortable reviewing and annotating written technical material
- Detail-oriented and self-motivated with the ability to meet deadlines independently
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 content evaluation or data annotation 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 shapes how AI handles real environmental challenges
- Potential for ongoing work and contract extension