Remote Conservation AI Scientist – Training & Validation

your Jared; Northern (KY); Hybrid; USD 34,000 - 69,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr, powered by Labelbox, seeks conservation professionals to help evaluate AI training data on environmental science and land management. This hourly, remote contract offers flexible hours (10–40 per week) and global collaboration.

You'll review conservation questions and datasets, assess AI outputs for ecological accuracy, and deliver actionable feedback to improve AI reasoning and recommendations. Work asynchronously from anywhere with autonomy.

Qualifications

• 3+ years of professional experience in natural resource conservation or environmental science
• Strong knowledge of ecosystems and conservation principles
• Ability to critically evaluate scientific reasoning and identify gaps
• Experience reviewing structured written content and delivering actionable feedback

Responsibilities

• Review conservation science questions and datasets used in AI training
• Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI-generated recommendations reflect real-world conservation practices and standards
• Provide clear, structured feedback to improve scientific reasoning and AI outputs
• Work independently and asynchronously — on your own schedule, from anywhere

Skills

Natural resource conservation

Ecology

Environmental science

Critical thinking

Scientific writing/review

Independent remote work

Education

Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or related field

Tools

AI tools

Job description

Alignerr, powered by Labelbox, seeks conservation professionals to help evaluate AI training data on environmental science and land management. This hourly, remote contract offers flexible hours (10–40 per week) and global collaboration.

You'll review conservation questions and datasets, assess AI outputs for ecological accuracy, and deliver actionable feedback to improve AI reasoning and recommendations. Work asynchronously from anywhere with autonomy.