Wildlife and Habitat Conservation Scientist

🏢 alignerr
📍 EgyptFull-timeRemote
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Alignerr is seeking Wildlife and Habitat Conservation Scientists to evaluate and improve AI systems focused on biodiversity protection and ecosystem management. This remote, hourly contract role involves reviewing AI-generated conservation scenarios for scientific accuracy, assessing ecological reasoning, and providing structured feedback to enhance AI's understanding of complex ecological topics. The ideal candidate possesses 3+ years of experience in wildlife biology, ecology, or habitat conservation, with a strong grasp of biodiversity and ecosystem dynamics. A graduate degree in a related field and experience with field research or conservation program management are considered advantageous.
Required Skills
Healthcare & Life Sciences
Ecology & BiodiversityBiology
Other
annotation workflowsecosystem dynamicshabitat conservation
Business, Sales & Management
HR Management
Finance, Legal & Governance
Valuation
🎁 Benefits & Perks
Fully remote and flexible work schedule, autonomy, variety, collaboration with a global team of subject-matter experts, potential for ongoing work and contract extension.
Requirements
Requires 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation with a strong foundational knowledge of biodiversity, ecosystem dynamics, and conservation management. Must be able to critically evaluate applied ecological reasoning and comfortably review and annotate structured scientific content. Self-motivation and reliability are essential for managing time and meeting deadlines independently.
Description
Wildlife and Habitat Conservation Scientist (AI Training)About The RoleWe'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 applications of AI technology.Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validityAssess the quality of ecological reasoning, conservation strategies, and biodiversity management approaches presented by AIIdentify unrealistic assumptions, flawed methodologies, or misapplied conservation techniquesProvide clear, structured feedback that improves how AI models handle complex ecological topicsWork independently and asynchronously on a schedule that fits your lifeWho You Are3+ years of hands-on experience in wildlife biology, ecology, or habitat conservationStrong foundational knowledge of biodiversity, ecosystem dynamics, and conservation managementAble to critically evaluate applied ecological reasoning presented in written formComfortable reviewing and annotating structured scientific content with precisionSelf-motivated and reliable — you can manage your own time and meet deadlines without micromanagementNice to HaveGraduate degree in Ecology, Wildlife Biology, Conservation Science, or a related fieldField research or conservation program management experienceFamiliarity with AI systems, content evaluation, or annotation workflowsWhy Join UsWork on cutting-edge AI projects with top research labs and help define how AI handles complex scientific topicsFully remote and flexible — complete tasks on your own schedule, from anywhereFreelance perks: autonomy, variety, and collaboration with a global team of subject-matter expertsContribute to meaningful work that ensures AI gets conservation science rightPotential for ongoing work and contract extension
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00