Remote Conservation Scientist for AI Training & Impact

Alignerr Corp.; Sydney; On-site; AUD 55,000 - 124,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr Corp. is seeking a Natural Resource Conservation Scientist to help train AI systems by reviewing conservation scenarios and ensuring scientific soundness.

This remote, hourly contract lets you work with 10–40 hours per week, applying expertise to land management, ecosystems, and biodiversity while shaping how AI reasons about environmental challenges. Join a global community of subject matter experts and contribute to cutting-edge AI projects in conservation science, with flexible

Qualifications

• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong knowledge of ecosystems, conservation principles, and applied land management.
• Ability to review AI-generated content and provide actionable feedback.

Responsibilities

• Review conservation science scenarios used to train AI systems
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
• Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding
• Identify gaps, errors, or misleading reasoning in AI outputs
• Provide clear, structured feedback that improves AI scientific reasoning
• Work independently and asynchronously on your own schedule

Skills

Conservation expertise

Ecosystem knowledge

Applied land management

Education

Master's or PhD in Natural Resources

Job description

Alignerr Corp. is seeking a Natural Resource Conservation Scientist to help train AI systems by reviewing conservation scenarios and ensuring scientific soundness.

This remote, hourly contract lets you work with 10–40 hours per week, applying expertise to land management, ecosystems, and biodiversity while shaping how AI reasons about environmental challenges. Join a global community of subject matter experts and contribute to cutting-edge AI projects in conservation science, with flexible