Environmental Management Scientist (AI Training)

Alignerr is seeking an Environmental Management Scientist to enhance AI's understanding of sustainability and environmental decision-making. This remote, flexible contract role involves reviewing AI-generated scenarios, assessing their accuracy, and providing structured feedback. Candidates should have 3+ years of experience in environmental management and the ability to work independently. The position offers autonomy and the chance to impact AI projects related to environmental challenges.
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 the quality and accuracy of AI systems used by researchers, planners, and organizations tackling some of the world's most pressing environmental 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 environmental models and real-world practice


Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs


Flag content that misrepresents environmental standards, regulations, or best practices


Work independently and asynchronously to complete task-based assignments on your own 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, environmental impact assessment, and land-use planning


Able to critically evaluate written environmental analyses for scientific accuracy and practical relevance


Skilled at providing detailed, constructive, and well-structured written feedback


Self-motivated and comfortable working independently in a remote setting


No prior AI experience required — your domain expertise is what matters Nice to Have Master's degree in Environmental Management, Environmental Science, or a related field


Experience with environmental policy, regulatory compliance, or permitting frameworks


Background in conservation planning, ecological restoration, or natural resource management


Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs and have a direct impact on how AI handles environmental topics


Fully remote and flexible — work when and where you choose


Freelance perks: autonomy, variety, and collaboration with a global community of subject-matter experts


Expand your exposure to large language models and how they're trained and evaluated


Potential for ongoing work and contract extension as new projects launch