About the Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — 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 factual errors, oversimplifications, or flawed management recommendations
- Provide clear, structured feedback to improve AI reasoning on applied environmental topics
- 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 working knowledge of forest ecosystems, silviculture, and land management practices
- Able to critically evaluate applied environmental decision-making and technical content
- Clear written communicator who can articulate feedback precisely and constructively
- Self-motivated and comfortable managing your own workload remotely
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, content evaluation, or data annotation workflows
Why Join Us
- Work on cutting-edge AI projects with leading research organizations
- Fully remote and flexible — contribute on your own terms and schedule
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Use your specialist knowledge in a high-impact, intellectually engaging role
- Potential for ongoing work and contract extension