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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist

Nexus Future Technologies
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 Technologies at the forefront of responsible AI innovation. We seek a visionary AI Ethicist to shape ethical frameworks for autonomous systems, ensuring alignment with human values and societal well-being. This pivotal role bridges cutting-edge technology with moral philosophy, guiding our organization through the complex ethical landscape of 2026 and beyond.

You'll collaborate with cross-disciplinary teams to audit AI deployments, develop governance protocols, and pioneer transparent algorithmic practices. Ideal candidates blend technical acumen with philosophical rigor to navigate emerging ethical challenges in quantum computing, biometric AI, and neural interfaces.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and risk assessments for machine learning models
  • Develop ethical guidelines for quantum computing and neuromorphic AI applications
  • Lead stakeholder consultations to align AI deployment with societal values
  • Create transparency protocols for explainable AI systems
  • Advocate for ethical AI standards in industry coalitions and regulatory bodies
  • Mentor cross-functional teams on responsible AI development practices

Qualifications

  • PhD in Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Expertise in algorithmic fairness, transparency, and accountability frameworks
  • Published research on AI ethics or related philosophy of technology
  • Proficiency in auditing machine learning models for bias and ethical risks
  • Experience developing corporate AI governance policies
  • Strong background in existential risk mitigation for advanced AI systems
  • Ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Machine Learning Philosophy of Technology Governance Risk Assessment Quantum Computing Explainable AI Stakeholder Engagement

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