Wildlife and Habitat Conservation Scientist (Melbourne)

Wildlife and Habitat Conservation Scientist (Melbourne)

21 Oct
|
Alignerr
|
Melbourne

21 Oct

Alignerr

Melbourne

Wildlife and Habitat Conservation Scientist (AI Training)

About 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 scientific expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real impact on one of the most important applications of AI technology.

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 and the appropriateness of conservation strategies presented by AI

Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles

Provide clear, structured feedback that helps improve AI outputs in your domain

Work independently and asynchronously on your own schedule

Who You Are

3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation





Robust foundational knowledge of biodiversity, ecosystem dynamics, and conservation management

Able to critically evaluate applied ecological reasoning in written form

Comfortable reviewing and annotating structured scientific content

Self-motivated, reliable, and able to meet project deadlines independently

Nice to Have

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 workflows, or scientific peer review

Why Join Us

Work on cutting-edge AI projects with real-world conservation impact

Fully remote and flexible — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Exposure to advanced large language models (LLMs) and how they're trained and evaluated

Contribute to meaningful work that helps AI reason more responsibly about the natural world

Potential for ongoing work and contract extension

📌 Wildlife and Habitat Conservation Scientist (Melbourne)
🏢 Alignerr
📍 Melbourne

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