Remote Conservation Scientist for AI Training and Review

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Potential for ongoing work

Job summary

Alignerr Corp. (Powered by Labelbox) is seeking a Natural Resource Conservation Scientist to help evaluate AI training data for environmental science and conservation decision-making.

This remote, contract role offers flexible hours and a chance to impact how AI understands land use, ecosystems, soil, water, and biodiversity. You will review questions and scenarios used to train AI, provide clear feedback, and work asynchronously on a 10-40 hour per week schedule.

Qualifications

• 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field.
• Strong working knowledge of ecosystems, land management principles, and conservation frameworks.
• Able to critically evaluate scientific reasoning and applied recommendations with clarity.
• Comfortable reviewing structured written content and providing detailed, actionable feedback.
• Self-motivated and reliable when working independently on deadline-driven tasks.

Responsibilities

• Review conservation science questions and real-world 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 sound, real-world conservation practices.
• Provide clear, structured feedback to improve scientific reasoning and AI outputs.
• Work independently and asynchronously - on your schedule, at your pace.

Skills

Ecosystems knowledge

Environmental science expertise

Critical evaluation

Scientific feedback

Independent work

Education

MS/PhD in Natural Resources

Tools

AI evaluation workflows

Job description

Alignerr Corp. (Powered by Labelbox) is seeking a Natural Resource Conservation Scientist to help evaluate AI training data for environmental science and conservation decision-making.

This remote, contract role offers flexible hours and a chance to impact how AI understands land use, ecosystems, soil, water, and biodiversity. You will review questions and scenarios used to train AI, provide clear feedback, and work asynchronously on a 10-40 hour per week schedule.