Environmental Management Scientist (AI Training)

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