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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. As our AI Ethics Strategist, you'll shape ethical frameworks for next-generation AI systems while driving innovation that aligns with human values. This pivotal role bridges technical implementation and societal impact, ensuring our 2026 roadmap prioritizes transparency, fairness, and accountability in artificial intelligence.

We're seeking visionary thinkers who can navigate complex ethical dilemmas in emerging technologies. You'll collaborate with cross-functional teams to embed ethical principles into product design, conduct bias audits, and develop governance protocols for autonomous systems. Your work will directly influence how AI interacts with humanity in the coming decade.

Responsibilities

  • Design and implement ethical governance frameworks for AI decision-making systems
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop stakeholder engagement strategies for diverse community input on AI policies
  • Conduct horizon scanning for emerging ethical risks in generative AI and autonomous systems
  • Create compliance protocols for evolving international AI regulatory landscapes
  • Train technical teams on ethical AI implementation best practices
  • Author whitepapers on responsible AI adoption for industry standards bodies

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics, responsible tech, or policy development
  • Deep understanding of ML bias mitigation techniques and fairness metrics
  • Expertise in global AI regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Proven ability to translate complex ethical concepts into actionable guidelines
  • Experience collaborating with multidisciplinary teams (engineers, policymakers, designers)
  • Published research or industry leadership in AI ethics or responsible innovation
  • Strong analytical skills for evaluating long-term societal impacts of AI systems

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Policy Development Stakeholder Engagement Regulatory Compliance Futurism Ethics Framework Design

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