Environmental Management Scientist (AI Training)
About this role
About the Role We're looking for 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 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 and analyses - Assess the quality of AI reasoning related to sustainability, impact mitigation, and resource planning - Identify gaps between theoretical frameworks and real-world environmental practice - Provide clear, structured feedback to improve AI accuracy and applicability - Work independently and asynchronously to meet project milestones Who You Are - 3+ years of hands-on experience in environmental management, conservation, or a related field - Strong command of sustainability frameworks, environmental planning, and impact assessment - Able to critically evaluate written environmental analyses with precision - Comfortable delivering detailed, structured feedback in written form - Self-motivated and reliable in a remote, asynchronous work environment Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience with environmental policy, regulation, or compliance frameworks - Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — design your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI better understand environmental challenges - Exposure to advanced large language models (LLMs) and how they are trained - Potential for ongoing work and contract extension
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