Remote AI Ethics Reviewer — Fairness & Safety

Alignerr Corp.

United States

Remote

CAD 34,000 - 55,000

Part time

10 hours ago
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Job summary

Alignerr is seeking AI Ethics Reviewers to evaluate AI-generated content for bias, safety issues, and ethical concerns — helping ensure that AI is fair, responsible, and safe for everyone. This is a fully remote, flexible contract role open to anyone with sharp critical thinking and a genuine interest in fairness and social impact.

No formal ethics or AI background required. You will review content, provide structured written feedback, and apply fairness guidelines across topics, working

Qualifications

  • Genuinely interested in fairness, ethics, social impact, or responsible technology.
  • Strong critical thinker who can consider multiple perspectives and cultural contexts.
  • Attentive to nuance — you notice what others miss.
  • Culturally aware and sensitive to how content lands across different communities.
  • Clear and confident written communicator.
  • No formal background in AI, ethics, or social science required.

Responsibilities

  • Review AI-generated content and outputs for bias, stereotypes, and harmful material.
  • Evaluate whether AI responses are safe and appropriate for diverse, real-world audiences.
  • Flag ethical concerns and provide clear, structured written feedback.
  • Apply fairness and safety guidelines consistently across a wide range of topics and content types.
  • Work independently and asynchronously on your own schedule.

Skills

Critical thinking
Written communication
Cultural awareness

Job description

Alignerr is seeking AI Ethics Reviewers to evaluate AI-generated content for bias, safety issues, and ethical concerns — helping ensure that AI is fair, responsible, and safe for everyone. This is a fully remote, flexible contract role open to anyone with sharp critical thinking and a genuine interest in fairness and social impact.

No formal ethics or AI background required. You will review content, provide structured written feedback, and apply fairness guidelines across topics, working

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