Remote Conservation Scientist - AI Training Data

Alignerr Corp.; Atlanta (GA); A distancia; USD 34.000 - 83.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking a Natural Resource Conservation Scientist to help evaluate and improve AI training content in conservation science, land management, and environmental decision-making. You will review questions, assess accuracy, and provide constructive feedback on AI outputs.

The role is remote with an hourly, task-based contract. Candidates should have 3+ years in natural resource conservation and a strong scientific background to ensure AI systems reflect current knowledge and best

Formación

• 3+ years of professional experience in natural resource conservation or related field.
• Strong knowledge of ecosystems and land management principles.
• Ability to critically evaluate scientific reasoning and recommendations.
• Ability to provide structured, detailed feedback on AI outputs.

Responsabilidades

• Review conservation science questions and scenarios used in AI training datasets.
• Evaluate scientific accuracy of AI-generated content on land use, ecosystems, soil, water, biodiversity.
• Assess if AI recommendations reflect real-world conservation practices and current standards.
• Identify errors, gaps, or misleading reasoning in AI outputs and provide improvements.
• Provide clear, structured feedback to improve scientific reasoning and response quality.
• Work independently and asynchronously to fit your schedule.

Conocimientos

Conservation science

AI training evaluation

Scientific reasoning

Educación

MS/PhD in Natural Resources

Herramientas

None

Descripción del empleo

Alignerr is seeking a Natural Resource Conservation Scientist to help evaluate and improve AI training content in conservation science, land management, and environmental decision-making. You will review questions, assess accuracy, and provide constructive feedback on AI outputs.

The role is remote with an hourly, task-based contract. Candidates should have 3+ years in natural resource conservation and a strong scientific background to ensure AI systems reflect current knowledge and best