Wildlife and Habitat Conservation Scientist
Hace 3 días
Buenos Aires, Argentina
Alignerr
Trabajo remoto
Jornada completa
US$ 30 - US$ 55/hora
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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 and ecosystem management topics. Your field expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real impact on one of the most important domains in AI development today.
• 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
• Assess the quality of ecological reasoning and conservation strategy recommendations
• Identify unrealistic assumptions, misapplied methods, or scientifically unsound conclusions
• Provide structured, expert feedback to improve the ecological validity of AI outputs
• 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
• Able to critically evaluate applied ecological reasoning presented in written form
• Comfortable reviewing and annotating structured scientific content
• Detail-oriented and self-motivated with the ability to meet deadlines independently Nice to Have
• Graduate degree in Ecology, Wildlife Biology, or a closely related field
• Field research or conservation program management experience
• Familiarity with AI systems, content evaluation, or data annotation workflows Why Join Us
• Work on cutting-edge AI projects with real-world conservation impact
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that shapes how AI understands the natural world
• Potential for ongoing work and contract extension
About The Role
We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity and ecosystem management topics. Your field expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real impact on one of the most important domains in AI development today.
• 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
• Assess the quality of ecological reasoning and conservation strategy recommendations
• Identify unrealistic assumptions, misapplied methods, or scientifically unsound conclusions
• Provide structured, expert feedback to improve the ecological validity of AI outputs
• 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
• Able to critically evaluate applied ecological reasoning presented in written form
• Comfortable reviewing and annotating structured scientific content
• Detail-oriented and self-motivated with the ability to meet deadlines independently Nice to Have
• Graduate degree in Ecology, Wildlife Biology, or a closely related field
• Field research or conservation program management experience
• Familiarity with AI systems, content evaluation, or data annotation workflows Why Join Us
• Work on cutting-edge AI projects with real-world conservation impact
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that shapes how AI understands the natural world
• Potential for ongoing work and contract extension