Alignerr

Forestry and Land Management Scientist (AI Training)

Alignerr
Dallas, TX
Contract
Remote
1 month ago

About the role

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
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