Environmental Management Scientist (AI Training)
About this role
About the Role 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 systems understand and reason about some of the planet's most pressing challenges. This is a remote, flexible contract role that lets you contribute meaningfully to cutting-edge AI research — on your own schedule. - 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 and accuracy 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 the 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 related field - Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment - Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies - Skilled at delivering detailed, constructive, and well-organized feedback - Self-motivated and reliable — comfortable working independently without close supervision Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience with environmental policy, regulatory frameworks, or compliance - Familiarity with AI tools, content evaluation workflows, or structured annotation tasks Why Join Us - Work on cutting-edge AI projects with top research labs — your domain knowledge directly shapes how AI handles real environmental challenges - Fully remote and flexible — complete tasks on your own schedule, from anywhere - Freelance perks: autonomy, variety, and collaboration with a global community of experts - Gain firsthand exposure to advanced large language models (LLMs) and how they are trained - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.