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Wildlife and Habitat Conservation Scientist
Remote / Online - Candidates ideally in
Cape Town, 7561, South Africa
Listed on 2026-10-11
Cape Town, 7561, South Africa
Listing for:
Alignerr Corp.
Remote/Work from Home
position Listed on 2026-10-11
Job specializations:
-
Research/Development
AI Evaluation, Ecology, Biology
Job Description & How to Apply Below
Your field knowledge of wildlife biology and habitat conservation is more valuable than ever — and not just in the field. We're looking for conservation scientists to help train and evaluate AI systems that reason about biodiversity, ecological health, and conservation strategy.
This is a fully remote, flexible contract role where your scientific expertise directly shapes how AI understands the natural world. No prior AI experience required.
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly / Task-based Contract - Location:
Remote - Commitment: 10–40 hours/week
- 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 schedule, at your pace
- 3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field
- Strong working knowledge of biodiversity principles and ecosystem management
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reading and reviewing structured scientific content
- Detail-oriented, self-motivated, and reliable when working independently
- Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related discipline
- Hands-on field research or conservation program experience
- Familiarity with AI systems, content evaluation, or scientific annotation workflows
- Meaningful impact — your expertise helps AI reason responsibly about conservation and the natural world
- Fully remote and flexible — work from anywhere, on a schedule that fits your life
- Cutting-edge work — gain direct exposure to how large language models are trained and evaluated
- Autonomy — task-based structure means you're in control of your workflow
- Global collaboration — connect with a diverse, expert community of scientists and researchers
- Ongoing opportunity — strong contributors are considered for contract extension and future projects
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