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Wildlife and Habitat Conservation Scientist
Job in
Hempstead, Nassau County, New York, 11549, USA
Listed on 2026-11-01
Listing for:
Alignerr Corp.
Part Time
position Listed on 2026-11-01
Job specializations:
-
Research/Development
AI Evaluation, Ecology
Job Description & How to Apply Below
The Role
We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your real-world expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a meaningful impact on one of the most important fields of our time.
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity
- Assess the quality of ecological reasoning, species assessments, and conservation strategies produced by AI
- Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
- Provide clear, structured feedback to improve AI outputs in your area of expertise
- Work independently and asynchronously on your own schedule
- 3+ years of hands‑on experience in wildlife biology, ecology, or habitat conservation
- Strong understanding of biodiversity principles and ecosystem management practices
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reviewing and annotating structured scientific content
- Detail‑oriented, reliable, and self‑motivated
- No prior AI experience required
- Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
- Field research, conservation program, or environmental policy experience
- Familiarity with AI systems or content evaluation workflows
- Work on cutting‑edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI handles critical environmental topics
- Potential for ongoing work and contract extension
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