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Wildlife and Habitat Conservation Scientist

Offre en anglais
  • Vancouver, British Columbia, Canada
  • Télétravail
  • Publié 10 sept. 2026
  • 1 poste

30 $ US–55 $ US / heure

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Type d’emploi
Contrat
Niveau d’expérience
Intermédiaire · 3+ ans
Formation minimale
Maîtrise
Postuler avant le
10 oct. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Exigences de lieu
Country, Vancouver, British Columbia, Canada
Niveau d’expérience
Mid-Senior level

Résumé du poste

Evaluate AI-generated conservation scenarios for scientific accuracy and ecological validity. Provide structured feedback to improve AI reasoning regarding biodiversity and ecosystem management.

Détails du poste

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 field expertise will directly shape how AI understands, reasons about, and communicates complex conservation science — making a real impact on one of the most important domains in AI development. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based 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, misapplied techniques, or gaps in biodiversity and ecosystem logic Provide clear, structured feedback that helps AI systems improve their understanding of conservation science Work independently and asynchronously on your own schedule Who You Are 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation Strong working knowledge of biodiversity principles and ecosystem management practices Able to critically evaluate applied ecological reasoning presented in written form Comfortable reviewing structured scientific content and providing detailed, actionable feedback Self-motivated and reliable with the ability to meet project deadlines independently Nice to Have Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field Experience in field research or conservation program management Familiarity with AI systems, content evaluation workflows, or data annotation platforms Why Join Us Work on cutting-edge AI projects with top research labs and help set the standard for scientific accuracy in AI Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with experts across the globe Use your conservation expertise in a meaningful new way that reaches far beyond the field Potential for ongoing work and contract extension

Ce que vous ferez

Evaluate AI-generated conservation scenarios for scientific accuracy and ecological validity. Provide structured feedback to improve AI reasoning regarding biodiversity and ecosystem management.

Exigences

Requires 3+ years of experience in wildlife biology, ecology, or habitat conservation. Candidates must be able to critically evaluate scientific content and work independently to meet deadlines.

Avantages

• Autonomy • Variety • Collaboration with global experts • Flexible schedule

Compétences indiquées

  • Évaluation · Souhaitée
  • Sens de l’organisation · Souhaitée
  • Training · Souhaitée
  • Collaboration · Souhaitée
  • Souci du détail · Souhaitée
  • management · Souhaitée
  • Accuracy · Souhaitée
  • Reliable · Souhaitée
  • Flexible · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Wildlife Biology
  • Ecology
  • Habitat Conservation
  • Biodiversity Principles
  • Ecosystem Management
  • Scientific Review
  • Ecological Reasoning
  • Data Annotation
  • Content Evaluation
  • Technical Feedback

Domaines d’emploi

  • Science & Research
  • Environmental & Sustainability
  • Technology
  • Data & Analytics

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