Job Title: NI QE (Neural Intelligence Quality Engineer)

Roles And Responsibilities

Intelligence Testing : Design, develop, and execute comprehensive test plans to evaluate and validate the intelligence, reasoning, and awareness of an Artificial General Intelligence system. This includes:

Creating novel tests that push the boundaries of current AI evaluation, going beyond typical benchmarks to probe for genuine understanding and sentience.
Developing scenarios to assess the system's ability to handle ambiguous, abstract, and open-ended problems.
Evaluating the system's capacity for self-awareness, realtime-learning, continous learning, moral reasoning, and knowledge consistency.
Collaborating with researchers and ethicists to design and implement tests that explore the system's knowledge and ethical alignment.
System Quality Assurance : Ensure the reliability, performance, and security of the AGI system and its underlying infrastructure.
Develop and execute test cases for the system's core APIs, data pipelines, and hardware integration.
Automate complex test scenarios using frameworks like Pytest, ensuring reproducibility and scalability.
Identify and report on system anomalies, data inconsistencies, and performance degradation.
Collaborate with engineering teams to ensure the system is robust, secure, and ready for deployment.

Qualifications

Proven experience in a senior QA or testing role, with a strong background in testing complex, AI-driven systems.
Deep understanding of AI/ML concepts and their practical applications.
Familiarity with philosophical concepts of knowledge, intelligence, and ethics.
Fair programming skills, with a focus on Python and automated testing frameworks.
Exceptional analytical and problem-solving abilities, with a passion for tackling unprecedented challenges.
Excellent communication skills, with the ability to articulate complex concepts and findings to both technical and non-technical stakeholders.