We’re looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates complex environmental concepts. This is a fully remote, adaptable 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 AI accuracy, clarity, and applicability 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 and environmental planning methodologies Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies Skilled at providing detailed, actionable, and well-organized 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 with environmental policy, regulatory compliance, or permitting frameworks Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us
Work on cutting-edge AI projects that are shaping how technology understands the natural world Fully remote and flexible — work when and where it suits you Freelance perks: autonomy, variety, and collaboration with a global network of experts Make a meaningful impact by ensuring AI gets environmental science right Potential for ongoing work and contract extension