Environmental Management Scientist (AI Training)

Alignerr is seeking an Environmental Management Scientist to contribute to AI training by evaluating AI-generated environmental scenarios and providing feedback. The role requires 3+ years of experience in environmental management and offers flexible, remote work on a contract basis, with commitments of 10–40 hours per week. Candidates will assess AI reasoning in sustainability and impact mitigation, working independently on their own schedule.
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