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Wildlife and Habitat Conservation Scientist

Job in Gaithersburg, Montgomery County, Maryland, 20877, USA
Listing for: Alignerr
Full Time position
Listed on 2026-06-26
Job specializations:
  • Research/Development
    Ecology, AI Evaluation
Job Description & How to Apply Below

Wildlife and Habitat Conservation Scientist (AI Training)

About The Role

Your field knowledge matters beyond the ecosystem — it can help shape the future of AI. We’re looking for wildlife and habitat conservation scientists to evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your expertise will directly influence how AI understands and reasons about one of the most critical fields on the planet.

  • Organization:
    Alignerr (Powered by Labelbox)
  • Type:
    Hourly / Task-based Contract
  • Location:

    Remote
  • Commitment: 10–40 hours/week
What You’ll Do
  • Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy
  • Assess the quality of ecological reasoning and proposed conservation strategies
  • Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
  • Provide clear, structured feedback that improves the ecological validity of AI outputs
  • Work independently and asynchronously on your own schedule
Who You Are
  • 3+ years of hands‑on experience in wildlife biology, ecology, or habitat conservation
  • Strong working knowledge of biodiversity principles and ecosystem management
  • Able to critically evaluate applied ecological reasoning presented in written form
  • Comfortable reviewing structured scientific content with attention to detail
  • Self‑motivated and reliable when working independently
Nice to Have
  • Graduate degree in Ecology, Wildlife Biology, or a closely related field
  • Experience in field research or active conservation program management
  • Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
  • Work on cutting‑edge AI projects that intersect with real‑world conservation challenges
  • Fully remote and flexible — work when and where it suits you
  • Freelance perks: autonomy, variety, and collaboration with a global network of experts
  • Contribute to meaningful work that helps AI get conservation science right
  • Potential for ongoing work and contract extension
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