Environmental Management Scientist

Environmental Management Scientist (AI Training)
About the Role
We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence how next-generation AI systems reason about some of the most critical challenges facing our planet.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : Flexible, project-based

• Commitment : Flexible, project-based

• Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations

• Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning

• Identify gaps between theoretical environmental models and real-world practice

• Flag inaccuracies, oversimplifications, or misleading content in AI outputs

• Provide clear, structured feedback to improve the accuracy and applicability of AI-generated content

- Work independently and asynchronously to complete project tasks on your own schedule

• Work independently and asynchronously to complete project tasks on your own schedule

• 3+ years of hands-on experience in environmental management, conservation, or a closely related field

• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment

• Able to critically evaluate written environmental analyses and identify practical shortcomings

• Comfortable providing detailed, structured written feedback

- Self-motivated and reliable when working independently

• Self-motivated and reliable when working independently

• Master's degree in Environmental Management, Environmental Science, or a related discipline

• Experience navigating environmental policy or regulatory frameworks

- Familiarity with AI systems, content evaluation, or data annotation workflows

• Familiarity with AI systems, content evaluation, or data annotation workflows

• Work on cutting-edge AI projects with top research labs

• Fully remote and flexible — work on your own schedule, from anywhere

• Freelance perks: autonomy, variety, and global collaboration

• Apply your domain expertise to meaningful work that shapes how AI handles environmental challenges

• Potential for ongoing work and contract extension