Job Description
Join Nexus Future Labs at the forefront of responsible AI development. We're seeking a visionary 2026 AI Ethics Research Lead to shape the ethical frameworks for tomorrow's autonomous systems. In this pivotal role, you'll pioneer groundbreaking research that ensures AI innovations align with human values while driving commercial viability. Our Austin-based hub combines academic rigor with startup agility, offering unparalleled resources to transform theoretical ethics into practical industry standards.
As a key architect of our 2026 roadmap, you'll collaborate with world-class engineers, policymakers, and ethicists to develop preemptive governance models for generative AI, quantum computing interfaces, and neural-human symbiosis technologies. This is your chance to define the ethical boundaries that will safeguard humanity's digital future while accelerating responsible innovation.
Responsibilities
- Design and implement ethical evaluation frameworks for next-gen AI systems by 2026
- Lead cross-functional teams in developing bias mitigation protocols for autonomous decision engines
- Establish industry-first transparency standards for explainable AI in high-stakes domains
- Forge strategic partnerships with regulatory bodies to preemptively address emerging ethical challenges
- Author whitepapers and policy recommendations for international AI governance summits
- Oversee development of quantum ethics audit protocols for hybrid human-AI systems
- Mentor junior researchers in applied ethics methodologies for emerging technologies
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
- Proven track record publishing in top-tier AI ethics journals (e.g., ACM FAccT, Nature Machine Intelligence)
- Expertise in developing regulatory frameworks for autonomous systems and generative AI
- Deep understanding of quantum computing ethics and neural interface implications
- Experience advising Fortune 500 companies on responsible AI implementation
- Exceptional ability to translate complex ethical concepts into actionable business policies
- Fluency in international AI governance landscapes (EU AI Act, NIST frameworks)
- Strong programming proficiency (Python/R) for empirical ethics research validation