Environmental Management Scientist (AI Training)
About this role
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 tackling some of the most important topics on the planet. 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 structured, detailed feedback to improve the clarity, accuracy, and applicability of AI outputs - 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 planning principles, and impact assessment methodologies - Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies - Skilled at providing clear, 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 with environmental policy, regulatory compliance, or permitting frameworks - Familiarity with AI systems, content evaluation workflows, or data annotation Why Join Us - Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics - Fully remote and flexible — work from anywhere, on your own schedule - Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts - Gain exposure to advanced large language models (LLMs) and how they are trained and evaluated - Potential for ongoing work and contract extension based on performance
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