Remote Conservation Scientist for AI Training & Impact

Alignerr Corp.; Atlanta (GA); À distance; USD 34 000 - 83 000; Plein temps

Avantages offerts par ce poste

Autonomy

Variety

Global collaboration

Résumé du poste

Alignerr Corp. is seeking Wildlife and Habitat Conservation Scientists to evaluate and improve AI systems trained on biodiversity protection and ecosystem management. This fully remote, flexible hourly contract role offers remote collaboration with cutting-edge AI research teams.

You will review ecological scenarios, assess reasoning and biodiversity recommendations, annotate content, and provide clear feedback on how to improve AI outputs. Join a global community of experts on your own schedule.

Qualifications

• 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation.
• Strong foundational knowledge of biodiversity, ecosystem management, and applied conservation science.
• Able to critically evaluate ecological reasoning presented in written form.
• Comfortable reviewing and annotating structured scientific content.
• Detail-oriented, self-motivated, and reliable.

Responsabilités

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity.
• Assess the quality of ecological reasoning, conservation strategies, and biodiversity recommendations produced by AI.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles.
• Provide clear, structured feedback to help AI teams improve content quality.
• Work independently and asynchronously - on your schedule, at your pace.

Connaissances

Wildlife biology

Ecology

Conservation science

Critical evaluation

Annotation

Formation

Graduate degree in Ecology, Wildlife Biology, Conservation Science

Description du poste

Alignerr Corp. is seeking Wildlife and Habitat Conservation Scientists to evaluate and improve AI systems trained on biodiversity protection and ecosystem management. This fully remote, flexible hourly contract role offers remote collaboration with cutting-edge AI research teams.

You will review ecological scenarios, assess reasoning and biodiversity recommendations, annotate content, and provide clear feedback on how to improve AI outputs. Join a global community of experts on your own schedule.