Wildlife and Habitat Conservation Scientist

Job summary

Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy, ecological validity, and sound reasoning. Identify errors or gaps in conservation approaches and provide structured, actionable feedback to improve AI systems.

Job details

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

What you’ll do

Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy, ecological validity, and sound reasoning. Identify errors or gaps in conservation approaches and provide structured, actionable feedback to improve AI systems.

Requirements

Applicants need at least three years of hands-on experience in wildlife biology, ecology, or habitat conservation, along with strong knowledge of biodiversity and ecosystem management. They must be able to assess written ecological content critically, provide detailed feedback, work independently, and meet deadlines; a relevant graduate degree and field or program management experience are preferred.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Varied Work
• Global Collaboration
• Potential for Ongoing Work and Contract Extension

Listed skills

• Accuracy · Preferred
• management · Preferred
• Collaboration · Preferred
• Flexible · Preferred
• meet deadlines · Preferred
• Organization · Preferred
• Reliable · Preferred
• Training · Preferred
• Évaluation · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Wildlife Biology
• Ecology
• Habitat Conservation
• Biodiversity
• Ecosystem Management
• Ecological Reasoning
• Species Management
• Conservation Methodologies
• Scientific Content Evaluation
• Critical Evaluation
• Structured Feedback
• Field Research
• Conservation Program Management
• Data Annotation

Job areas

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

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