Environmental Management Scientist (AI Training)

About the Role: We're looking for experienced 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 the next generation of AI models reasons about some of the planet's most pressing challenges. This is a fully remote, flexible contract role - work on your own schedule while contributing to cutting-edge AI development. Organization: Alignerr (Powered by Labelbox)

Type: Hourly / Task-based Contract

Location: Remote Commitment: 10-40 hours/week

What You'll Do: 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 models and real-world environmental practice Provide clear, structured feedback to improve the accuracy and applicability of AI outputs Work independently and asynchronously to complete task-based assignments on your schedule Who You Are 3+ years of hands-on experience in environmental management, conservation, or a closely related field Strong working knowledge of sustainability frameworks and environmental planning principles Able to critically evaluate written environmental analyses with a practical lens Skilled at delivering detailed, structured written feedback Self-motivated and comfortable working independently in a remote setting

Nice to Have: Master's degree in Environmental Management, Environmental Science, or a related discipline Experience navigating environmental policy or regulatory frameworks Prior exposure to AI tools, content evaluation workflows, or data annotation platforms

Why Join Us: Work on cutting-edge AI projects with top research labs and leading AI organizations Fully remote and flexible - work when and where it suits you Freelance perks: autonomy, variety, and collaboration with a global community of experts Contribute to meaningful work that helps AI better understand and support environmental sustainability Potential for ongoing work and contract extension