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AI Data Trainer – Environmental Impact & Sustainability (Worldwide – Remote)

  • Worldwide - Remote
  • $15-$25/hr
  • Contract

About Cognito AI

Cognito AI connects subject-matter experts with cutting-edge AI development by offering flexible opportunities to shape and refine intelligent systems. Through roles in data labeling, quality assurance, and specialized task evaluation, contributors help ensure AI models are accurate, reliable, and aligned with real world knowledge. Cognito AI empowers professionals to apply their expertise on impactful projects while earning competitive compensation from anywhere in the world.

About The Role

We are seeking AI Data Trainers – Environmental Impact & Sustainability with strong domain expertise in sustainability, climate science, or environmental policy. In this role, you’ll contribute to the development of AI systems by labeling, evaluating, and reviewing AI-generated content related to environmental challenges, sustainable practices, and climate impact. Your annotations will help train AI models to better understand the complex language and context of environmental sustainability.

Responsibilities

  • Annotate AI-generated content focused on environmental issues, climate science, and sustainability.
  • Evaluate AI responses for factual accuracy, relevance, and adherence to domain-specific guidelines.
  • Identify misinformation, ethical concerns, or oversimplifications in sustainability-related content.
  • Apply structured labeling taxonomies to classify data according to environmental domains (e.g., emissions, renewable energy, conservation).
  • Follow detailed project instructions and quality assurance protocols to ensure high annotation standards.
  • Collaborate with project leads to improve labeling criteria and adapt to evolving sustainability topics.
  • Maintain consistency and attention to detail across large volumes of data tasks.

Qualifications

  • Certificate in Advanced AI Data Trainer Mastery from AIDRALabs (Recommended)
  • 2+ years of experience in sustainability, climate policy, environmental science, or related fields. Current students enrolled in relevant academic programs are encouraged to apply.
  • Strong understanding of ecological issues, environmental systems, or climate change frameworks.
  • Experience working with data in a structured format (e.g., tagging, annotation, QA).
  • Strong analytical and written communication skills.
  • English proficiency at B2, C1, C2, or Native level.
  • Background in research or analysis within NGOs, environmental agencies, or green tech initiatives.
  • Familiarity with AI annotation platforms, labeling tools, or model evaluation tasks.
  • Exposure to climate modeling, sustainability metrics, or policy evaluation tools.
  • Experience working on projects involving LLM alignment, fact-checking, or AI safety related to environmental domains.

Education & Qualifications

Add your Advanced AI Data Trainer Mastery from AIDRALabs. Certificates that cannot be verified will not be accepted.

Availability & Technical Specs

Windows Instructions: Search for and navigate to "About Your PC". Take a full, unedited screenshot showing Device Name, Processor, RAM, etc.

Mac Instructions: Navigate to "About This Mac". Take a full, unedited screenshot showing model, processor, memory, serial number, and macOS version.

NOTE: Edited or cropped screenshots will not be accepted.
Navigate to speedtest.net.
Click "GO" and wait for the test to complete.
Take a full, unedited screenshot of the results.

NOTE: Edited or cropped screenshots will not be accepted.
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