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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
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation as we shape responsible technology for 2026 and beyond. We're seeking visionary AI Ethics Strategists to design frameworks that balance technological advancement with human-centric values. This role offers unparalleled impact in guiding our organization's AI ethics roadmap while collaborating with industry leaders to establish global standards for trustworthy AI.

As part of our cross-disciplinary team, you'll pioneer solutions that address emerging ethical challenges in generative AI, autonomous systems, and predictive analytics. Your work will directly influence how millions interact with AI systems, ensuring they align with societal values and regulatory requirements.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes and emerging industry standards
  • Conduct ethical risk assessments for AI systems across product development lifecycle
  • Design bias mitigation strategies for large-scale machine learning models
  • Collaborate with engineering teams to implement ethical guardrails in AI infrastructure
  • Lead stakeholder workshops to establish transparent AI governance protocols
  • Author white papers and position papers on emerging AI ethics challenges
  • Advocate for ethical AI principles at industry conferences and policy forums

Qualifications

  • Advanced degree in Philosophy, Ethics, Computer Science, or related field with 5+ years of AI ethics experience
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, upcoming 2026 legislation)
  • Proven track record of implementing ethical AI in production environments
  • Strong background in machine learning model auditing and bias detection
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Experience with cross-functional ethical review boards
  • Published work in AI ethics journals or industry publications
  • Deep understanding of emerging AI technologies (LLMs, generative AI, autonomous systems)

Required Skills

AI Ethics Machine Learning Ethics Regulatory Compliance Risk Assessment Bias Mitigation AI Governance Ethical Framework Design Stakeholder Communication

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