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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Specialist

Nexus Innovations
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary 2026 AI Ethics Specialist to shape the ethical framework for next-generation artificial intelligence systems. This role combines cutting-edge technology with moral leadership to ensure our innovations benefit humanity while mitigating risks.

You'll collaborate with cross-disciplinary teams to establish governance protocols, audit AI decision-making processes, and pioneer transparent algorithmic standards. The ideal candidate thrives at the intersection of technology and philosophy, driving initiatives that will define AI's role in our 2026 digital ecosystem.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Conduct bias audits and fairness assessments on machine learning models
  • Develop transparency protocols for explainable AI (XAI) deployments
  • Lead stakeholder workshops on AI ethics and responsible innovation
  • Monitor emerging regulatory landscapes and adapt compliance strategies
  • Document ethical risk assessments and mitigation roadmaps
  • Advocate for inclusive AI design principles in product development

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field
  • 5+ years in AI governance, ML ethics, or responsible tech roles
  • Expertise in bias detection algorithms and fairness metrics
  • Strong understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proven experience with ethical risk assessment methodologies
  • Exceptional communication skills for technical and non-technical audiences
  • Published work in AI ethics or conference presentations
  • Familiarity with federated learning and differential privacy techniques

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Explainable AI Bias Mitigation Regulatory Compliance Ethics Framework Design Risk Assessment

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