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AI Ethics Specialist - 2026 Tech Initiative

Neural Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Neural Horizon Labs at the forefront of ethical AI development for our groundbreaking 2026 initiative. We're pioneering the next generation of autonomous systems and seeking visionary AI Ethics Specialists to shape responsible innovation. This role offers unparalleled opportunities to influence global AI governance frameworks while working alongside world-class researchers in our state-of-the-art Austin facility.

Our 2026 initiative focuses on developing transparent, bias-resistant AI solutions for healthcare, climate modeling, and urban planning. You'll be instrumental in ensuring our breakthrough technologies align with human values and regulatory standards.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Conduct bias audits using advanced statistical modeling and fairness metrics
  • Develop real-time monitoring systems for ethical compliance in production AI
  • Collaborate with policymakers on 2026 regulatory standards for AI deployment
  • Create explainability protocols for complex neural network decision-making
  • Lead cross-functional ethics reviews for high-stakes AI applications
  • Pioneer new methodologies for quantifying algorithmic accountability

Qualifications

  • PhD in AI Ethics, Philosophy, Computer Science, or related field
  • 5+ years developing ethical AI frameworks in regulated industries
  • Expertise in fairness metrics (disparate impact, equal opportunity)
  • Experience with adversarial testing of autonomous systems
  • Published research on algorithmic accountability or bias mitigation
  • Proficiency in Python for ethical auditing tool development
  • Deep understanding of global AI governance landscape (EU AI Act, NIST frameworks)
  • Track record of influencing policy through technical advocacy

Required Skills

AI Ethics Algorithmic Accountability Fairness Metrics Autonomous Systems Regulatory Compliance Explainable AI Bias Mitigation Policy Advocacy

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