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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 140.000 – USD 200.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're seeking visionary AI Ethics Strategists to shape responsible AI frameworks for 2026 and beyond. This role bridges cutting-edge technology with human-centric values, ensuring our innovations advance society ethically. You'll collaborate with cross-disciplinary teams to embed fairness, transparency, and accountability into AI systems that impact billions.

Our Austin hub fosters innovation through collaborative workspaces, hackathons, and partnerships with leading universities. We offer competitive compensation, comprehensive benefits, and opportunities to present at global tech conferences.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with emerging regulations
  • Conduct bias audits and risk assessments for AI systems across multiple industries
  • Develop stakeholder engagement strategies for diverse communities affected by AI deployments
  • Lead cross-functional teams to integrate ethical considerations into product lifecycles
  • Produce white papers and policy recommendations for industry standards bodies
  • Mentor junior researchers on responsible AI methodologies
  • Monitor global AI ethics trends and regulatory developments

Qualifications

  • Advanced degree in Ethics, Computer Science, Philosophy, or related field
  • 5+ years in AI ethics, responsible AI, or technology policy roles
  • Expertise in bias mitigation techniques and fairness metrics for ML systems
  • Experience with regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Strong background in stakeholder engagement and community impact assessment
  • Published research or contributions to open-source ethical AI initiatives
  • Ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Responsible AI Governance Frameworks Bias Mitigation Regulatory Compliance Stakeholder Engagement Technology Policy Machine Learning Audits

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