Environmental Management Scientist (AI Training), Delhi

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 recommendationsAssess 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 scheduleWho 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 inaccuraciesSkilled 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 complianceFamiliarity 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 anywhereFreelance 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