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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

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 ethical AI development for 2026. We're pioneering responsible AI frameworks that shape humanity's technological future. Lead our cross-functional team in developing auditable, bias-resistant systems that align with emerging global standards. This senior role offers unparalleled impact in defining how AI serves humanity ethically while driving innovation.

Our ideal candidate thrives at the intersection of technology, philosophy, and policy, with a passion for creating AI systems that enhance human potential without compromising ethical integrity. You'll work directly with C-suite executives and research partners to establish industry benchmarks for AI governance.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with 2026 regulatory landscapes
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop predictive impact assessments for AI deployment in sensitive domains
  • Collaborate with product teams to embed ethical considerations throughout development lifecycles
  • Establish stakeholder engagement protocols for transparent AI decision-making
  • Represent the organization in global AI ethics forums and policy discussions
  • Mentor junior engineers on responsible AI implementation practices

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
  • 5+ years experience in AI ethics, governance, or responsible AI implementation
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Proven track record of developing enterprise-level AI ethics frameworks
  • Expertise in bias mitigation techniques and fairness metrics
  • Experience testifying before regulatory bodies or standardization committees
  • Strong background in machine learning and data science fundamentals
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Policy Development Risk Assessment Stakeholder Engagement

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