Jobs · Human Resources

Forestry and Land Management Scientist (AI Training)

Alignerr · Chicago, IL · 1 wk ago
RemoteRemoteHuman ResourcesContract

About the Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your field expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and decision-makers worldwide.

What You'll Do

  • Review forestry and land management scenarios used in AI training datasets
  • Assess the accuracy and depth of AI-generated content related to forest health, land use, and sustainability
  • Identify errors, oversimplifications, or misleading recommendations in management guidance
  • Provide structured, expert feedback to improve AI reasoning on applied environmental decisions
  • 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 and consistency
  • Self-motivated and reliable — able to work independently without close supervision

Nice to Have

  • Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
  • Experience with land-use planning, conservation programs, or environmental policy
  • Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

  • Work on cutting-edge AI projects alongside top research labs
  • Fully remote and flexible — structure your work around your life
  • FFreelance perks: autonomy, variety, and global collaboration
  • Make a tangible impact on how AI handles real-world environmental challenges
  • Potential for ongoing work and contract extension

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