Natural Resource Conservation Scientist

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

About the Role

Are you a natural resource or environmental scientist who wants to do something truly different with your expertise? We're looking for experienced conservation professionals to help evaluate and improve AI systems being trained on environmental science, land management, and conservation decision-making.

Your scientific knowledge will directly shape how AI understands ecosystems, interprets conservation data, and recommends land management strategies — making a real-world difference in how this technology serves the environment and the people who protect it.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review conservation science questions, scenarios, 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

Who You Are

• 3+ years of professional experience in natural resource conservation, land management, or environmental science
• Strong working knowledge of ecosystems, conservation principles, and applied land management
• Able to critically evaluate scientific reasoning and identify errors or gaps in applied recommendations
• Comfortable reviewing structured written content and delivering detailed, actionable feedback
• Self-motivated and reliable when working independently on remote, task-based projects

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
• Hands-on fieldwork or applied conservation experience
• Familiarity with AI tools, content evaluation workflows, or scientific writing review

Why Join Us

• Meaningful impact — your expertise helps ensure AI gets environmental science right
• Fully remote and flexible — work when and where it suits you
• Cutting-edge work — gain firsthand exposure to how advanced AI models are trained and improved
• Autonomy — task-based structure means you control your workload
• Global collaboration — work alongside experts from around the world
• Potential for ongoing work — strong contributors are considered for contract extensions and future projects