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About The Role Your expertise in environmental management could help shape how the next generation of AI understands our planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making. This is a fully remote, flexible contract role where your real-world knowledge directly influences AI quality — bridging the gap between textbook theory and on-the-ground environmental practice. 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 approaches and real-world practice Provide clear, structured feedback to improve the accuracy and applicability of AI outputs Flag misleading, incomplete, or technically unsound environmental content 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 related field Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment Able to critically evaluate written environmental analyses and identify both technical and practical shortcomings Comfortable providing detailed, structured written feedback Self-motivated, reliable, and able to work independently without close supervision 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 with top research labs and help shape how AI understands the natural world Fully remote and flexible — complete tasks on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts Contribute to meaningful work that improves AI's ability to reason about real environmental challenges Potential for ongoing work and contract extension as projects grow