Environmental Management Scientist (AI Training)

Alignerr Corp.

Brasil

Teletrabalho

BRL 180 000 - 431 000

Tempo parcial

há 47 horas
Torna-te num dos primeiros candidatos
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Fully remote
Flexible schedule
Contract-based extension

Resumo da oferta

Alignerr Corp. is seeking experienced environmental professionals to evaluate and improve 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 work on your own schedule while contributing to cutting-edge AI research. You will review AI-generated environmental analyses, assess reasoning related to sustainability frameworks, and provide detailed written feedback to

Qualificações

  • 3+ years of hands-on experience in environmental management, conservation, or a related field.
  • Strong working knowledge of sustainability frameworks and environmental planning processes.
  • Able to critically assess written environmental analyses and identify weaknesses.
  • Comfortable providing detailed, structured written feedback.
  • Self-motivated and reliable — able to meet project deadlines independently.

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 models and real-world practice.
  • Provide clear, structured feedback to improve the accuracy and applicability of AI outputs.
  • Work independently and asynchronously on your own schedule.

Conhecimentos

Environmental management
Sustainability frameworks
Technical writing feedback

Formação académica

Master's degree in Environmental Management

Ferramentas

AI tools

Descrição da oferta de emprego

About The Role

Your expertise in environmental management could help shape how AI understands one of the most critical fields of our time. 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

This is a fully remote, flexible contract role where your real-world knowledge directly improves the quality and reliability of cutting-edge AI models.

  • Organization: Alignerr (Powered by Labelbox)
  • Type: Hourly 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 models and real-world practice
  • Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
  • Work independently and asynchronously 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 and environmental planning processes
  • Able to critically assess written environmental analyses and identify weaknesses
  • Comfortable providing detailed, structured written feedback
  • Self-motivated and reliable — able to meet project deadlines independently
Nice to Have
  • Master’s degree in Environmental Management, Environmental Science, or a related field
  • Experience with environmental policy, regulatory compliance, or permitting frameworks
  • Prior exposure to AI tools, content evaluation, or quality assurance workflows
Why Join Us
  • Work on cutting-edge AI projects with leading research organizations
  • Fully remote and flexible — work on your own schedule, from anywhere
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that helps AI better understand environmental challenges
  • Potential for ongoing work and contract extension
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