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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Labs
Austin
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of artificial intelligence as Nexus Future Labs pioneers ethical AI frameworks for 2026. We're seeking an AI Ethics & Governance Specialist to develop responsible AI policies, audit algorithmic fairness, and ensure compliance with evolving federal regulations. Join our cross-functional team in Austin to build transparent, auditable systems that balance innovation with human-centric values. This role offers the unique opportunity to influence industry standards while working with cutting-edge AI technologies.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with 2026 regulatory standards
  • Conduct algorithmic audits for bias detection and fairness assessment
  • Develop policy documentation for AI transparency and explainability requirements
  • Collaborate with engineering teams to embed ethical safeguards into AI development pipelines
  • Lead stakeholder workshops on responsible AI adoption across departments
  • Monitor emerging AI legislation and update compliance protocols accordingly
  • Produce quarterly ethics impact reports for executive leadership

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field with 3+ years AI governance experience
  • Expertise in algorithmic bias detection techniques and fairness metrics
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design) or equivalent
  • Deep understanding of proposed federal AI regulations (e.g., AI Bill of Rights frameworks)
  • Experience with AI explainability tools (SHAP, LIME, AI Fairness 360)
  • Strong policy writing skills with ability to translate technical concepts for non-technical audiences
  • Background in cross-functional stakeholder management in tech environments

Required Skills

AI Ethics Algorithmic Auditing Policy Development Bias Mitigation Explainable AI Regulatory Compliance Stakeholder Management

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