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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
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible innovation. We're seeking a visionary AI Ethics Strategist to shape the ethical frameworks guiding our 2026 product roadmap. You'll collaborate with cross-disciplinary teams to embed fairness, transparency, and accountability into AI systems that impact millions. This role combines philosophical rigor with technical execution, ensuring our AI solutions advance humanity while mitigating risks.

What you'll do:

  • Design and implement ethical AI governance frameworks for next-gen autonomous systems
  • Conduct bias audits and risk assessments for machine learning models
  • Develop policy guidelines for AI deployment in high-stakes industries
  • Lead stakeholder workshops on responsible AI adoption
  • Author thought leadership on emerging ethical challenges in AI

Why Nexus Future Labs?

We offer competitive equity packages, unlimited PTO, and a $15k annual learning stipend. Our downtown SF hub features biometric wellness stations and rooftop meditation gardens.

Responsibilities

  • Establish cross-functional ethics review boards for AI projects
  • Quantify algorithmic bias using fairness metrics and mitigation techniques
  • Partner with product teams to embed ethical design principles
  • Monitor evolving AI regulations and compliance requirements
  • Develop training programs for engineers on ethical AI development
  • Represent the company at global AI ethics summits and conferences
  • Author white papers on societal impact of emerging AI capabilities

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, policy development, or ethics compliance
  • Expertise in fairness metrics (Demographic Parity, Equalized Odds)
  • Published research on algorithmic bias or AI ethics frameworks
  • Experience with ML model interpretability tools (SHAP, LIME)
  • Familiarity with EU AI Act, NIST AI Risk Framework, and ISO/IEC 42001
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Ethical AI Frameworks Policy Development Risk Assessment Stakeholder Engagement Regulatory Compliance NIST AI Framework EU AI Act

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