Environmental Management Scientist (AI Training)

Alignerr Corp.; Portugal; Teletrabalho; EUR 34 000 - 83 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Autonomy

Variety

Global collaboration

Resumo da oferta

Alignerr (Powered by Labelbox) is seeking experienced environmental professionals to evaluate AI systems trained on sustainability, land-use planning, and environmental decision-making. This fully remote, flexible contract role offers 10–40 hours per week and the freedom to contribute real-world expertise on your own schedule.

You will review AI-generated environmental analyses, assess reasoning against sustainability frameworks, and provide structured feedback to improve AI outputs while

Qualificações

• 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.
• Ability to critically evaluate written environmental analyses and identify shortcomings.
• Comfortable providing detailed, structured written feedback.
• Self-motivated, reliable, and able to work independently without close supervision.

Responsabilidades

• Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations.
• Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning.
• Identify gaps between theoretical environmental approaches and real-world practice.
• Provide clear, structured feedback to improve the accuracy and applicability of AI outputs.
• Flag misleading, incomplete, or technically unsound environmental content.
• Work independently and asynchronously to complete task-based assignments on your own schedule.

Conhecimentos

Environmental management

Sustainability frameworks

Written feedback

Independent work

Formação académica

Master's degree in Environmental Management

Descrição da oferta de emprego

About The Role

Your expertise in environmental management could help shape how the next generation of AI understands our planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.

About The Role

Your expertise in environmental management could help shape how the next generation of AI understands our planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.

This is a fully remote, flexible contract role where your real-world knowledge directly influences AI quality — bridging the gap between textbook theory and on-the-ground environmental practice.

• 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 of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
• Identify gaps between theoretical environmental approaches and real-world practice
• Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
• Flag misleading, incomplete, or technically unsound environmental content
• 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 both technical and practical shortcomings
• Comfortable providing detailed, structured written feedback
• Self-motivated, reliable, and able to work independently without close supervision

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and help shape how AI understands the natural world
• Fully remote and flexible — complete tasks on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts
• Contribute to meaningful work that improves AI's ability to reason about real environmental challenges
• Potential for ongoing work and contract extension as projects grow