About the Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. Your field expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide.
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
What You'll Do
- Review and evaluate 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 practices
- Identify factual errors, oversimplifications, or flawed management recommendations in AI outputs
- Provide structured, expert feedback to improve applied environmental reasoning in AI systems
- Work independently and asynchronously to complete task-based assignments 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 sustainable land-use practices
- Able to critically evaluate applied environmental decision-making and management recommendations
- Comfortable reading and reviewing technical written content with precision
- Self-motivated and reliable when working independently in a remote setting
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 tools, content evaluation workflows, or data annotation platforms
Why Join Us
- Work on cutting-edge AI projects with top research labs and technology organizations
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Make a real impact by ensuring AI systems reflect accurate, real-world forestry science
- Potential for ongoing work and contract extension based on performance