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Wildlife and Habitat Conservation Scientist
Job in
Boston, Suffolk County, Massachusetts, 02112, USA
Listed on 2026-06-19
Listing for:
Alignerr
Full Time
position Listed on 2026-06-19
Job specializations:
-
Research/Development
Ecology, AI Evaluation
Job Description & How to Apply Below
Wildlife and Habitat Conservation Scientist (AI Training)
We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real-world impact on one of the most critical domains in AI development.
AboutThe Role
Organization:
Alignerr (Powered by Labelbox)
Type:
Hourly Contract
Location:
Remote
Commitment: 10–40 hours/week
What You'll Do- Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity
- Assess the quality of ecological reasoning, species management strategies, and conservation methodologies
- Identify unrealistic assumptions, flawed conservation logic, or misapplied ecological principles
- Provide clear, structured feedback that helps AI systems produce better, more credible conservation content
- Work independently and asynchronously on a schedule that fits your life
- 3+ years of hands‑on experience in wildlife biology, ecology, or habitat conservation
- Strong foundational knowledge of biodiversity, ecosystem dynamics, and conservation management
- Able to critically evaluate applied ecological reasoning presented in written scenarios
- Comfortable reviewing and annotating structured scientific content
- Self‑motivated, detail‑oriented, and reliable
- Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
- Field research experience or direct involvement in conservation programs
- Familiarity with AI systems, content evaluation, or annotation workflows
- Work on cutting‑edge AI projects that are shaping the future of how machines understand the natural world
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Contribute to meaningful work that helps AI reason responsibly about conservation and ecology
- Potential for ongoing work and contract extension
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