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 making a meaningful contribution 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 forestry and land management scenarios used in AI training datasets
Assess the accuracy and quality of AI-generated content related to forest ecosystems, land use, and sustainability practices
Identify factual errors, oversimplifications, or flawed management recommendations
Provide clear, structured feedback that improves AI reasoning in applied environmental contexts
Work independently and asynchronously on task-based assignments that fit your 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 scenarios
Comfortable reading and reviewing technical written content with attention to detail
Self-motivated and reliable — able to meet deadlines independently
No prior AI experience required
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 systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs and make a real impact
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and collaboration with a global community of experts
Contribute to meaningful work that helps AI get environmental science right
Potential for ongoing work and contract extension
Skills
Human ResourcesTechnology, Information and Internet