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AI Ethics Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of shaping ethical AI for 2026! We're seeking a visionary AI Ethics Research Lead to pioneer frameworks that ensure responsible AI deployment in critical infrastructure. This role combines cutting-edge research with real-world impact, guiding our development of quantum-safe AI systems and autonomous ethical governance protocols.

As a key architect of tomorrow's AI ethics landscape, you'll collaborate with Nobel laureates and industry disruptors to define standards for generative AI accountability. Our hybrid work model offers flexibility while maintaining deep team cohesion in our state-of-the-art Silicon Valley campus.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 quantum computing integration
  • Lead cross-functional teams in auditing generative AI systems for bias and transparency
  • Develop proprietary ethical risk assessment methodologies for autonomous decision systems
  • Publish groundbreaking research in top-tier journals and industry whitepapers
  • Advise C-suite executives on policy implications of emerging AI regulations
  • Coordinate with global ethics boards on international AI standardization efforts
  • Mentor PhD researchers in applied ethics and responsible AI development

Qualifications

  • PhD in Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias mitigation or explainable AI
  • Expertise in developing ethical frameworks for autonomous systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proficiency in Python/R for ethical auditing tool development
  • Experience presenting ethical AI concepts to technical and non-technical stakeholders
  • Track record of influencing corporate AI policy development

Required Skills

AI Ethics Quantum Computing Algorithmic Auditing Explainable AI Policy Development Risk Assessment Generative AI Governance Frameworks

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