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 explicit, 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
Solid 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 versatile — 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
📌 Environmental Management Scientist Ai Training Delhi (India)
🏢 Alignerr
📍 India
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