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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist - 2026 Visionary

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

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for autonomous systems that will define the 2026 technological landscape. As our AI Ethicist, you'll architect governance protocols ensuring human-centric AI deployment while navigating complex ethical dilemmas at the intersection of innovation and societal impact.

Our multidisciplinary team combines neuroscience, philosophy, and cutting-edge ML to create AI that augments human potential without compromising privacy or autonomy. This role offers unparalleled influence in shaping how next-generation AI systems interact with humanity.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop explainability protocols for complex neural networks
  • Collaborate with engineers to embed ethical safeguards into AI architectures
  • Lead stakeholder dialogues on AI ethics with industry regulators and academia
  • Proactively identify emerging ethical challenges in generative AI and predictive analytics
  • Author white papers on responsible AI deployment for 2026 technology standards

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics, responsible AI, or machine learning governance
  • Expertise in fairness metrics, bias mitigation, and explainable AI techniques
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Published research in AI ethics or philosophy of technology
  • Experience with cross-functional AI development teams
  • Strong background in policy analysis and stakeholder engagement
  • Proficiency in Python and statistical analysis tools

Required Skills

AI Ethics Machine Learning Explainable AI Bias Mitigation Regulatory Compliance Policy Development Stakeholder Engagement Python Statistical Analysis NIST Framework EU AI Act

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