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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
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. As we pioneer solutions for 2026, we seek an AI Ethics Strategist to shape the responsible deployment of transformative technologies. You'll lead cross-functional initiatives to ensure our AI systems align with societal values while driving innovation. This role offers unparalleled opportunity to influence the future of human-machine collaboration in a rapidly evolving digital landscape.

Responsibilities

  • Develop and implement ethical frameworks for AI systems deployed in healthcare and autonomous infrastructure
  • Conduct algorithmic bias audits and mitigation strategies for high-impact AI applications
  • Lead stakeholder dialogues with policymakers, engineers, and community representatives on AI governance
  • Design compliance protocols for emerging AI regulations (EU AI Act, US AI Bill of Rights)
  • Establish KPIs for ethical AI performance across product development lifecycle
  • Train cross-functional teams on responsible AI principles and implementation tactics
  • Research and publish frameworks for AI explainability in critical decision-making systems

Qualifications

  • PhD or Master's in Computer Science, Ethics, Philosophy, or related field with 5+ years AI governance experience
  • Proven track record in developing ethical AI frameworks for regulated industries
  • Expertise in algorithmic bias detection and mitigation techniques
  • Familiarity with global AI regulatory landscapes (EU, US, APAC)
  • Strong background in participatory design methodologies with diverse stakeholder groups
  • Published research in AI ethics or responsible technology journals
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design, Google Responsible AI)
  • Experience with ML model transparency tools (SHAP, LIME, Explainable AI libraries)

Required Skills

AI Ethics Algorithmic Bias AI Governance Regulatory Compliance Explainable AI Participatory Design Stakeholder Engagement Responsible AI Frameworks

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