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NI QE (Neural Intelligence Quality Engineer)
Design and execute test plans that evaluate the intelligence, reasoning and awareness of an Artificial General Intelligence system, and make sure the system is reliable, performant and secure.
- Focus
- AGI system testing
- Experience
- Senior QA or testing role
- Programming
- Python and automated testing
What you will do. Select a card to jump to its details.
PythonPytestArtificial General IntelligenceAI/MLAPIsData pipelinesHardware integrationReasoningSelf-awarenessContinuous learningMoral reasoningKnowledge consistencyEthical alignmentTest automationPythonPytestArtificial General IntelligenceAI/MLAPIsData pipelinesHardware integrationReasoningSelf-awarenessContinuous learningMoral reasoningKnowledge consistencyEthical alignmentTest automation
Roles and responsibilities
Intelligence testing4 items
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, continuous 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 assurance4 items
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.
Who we are looking for
Proven experience in a senior QA or testing role, with a strong background in testing complex, AI-driven systems.
- Python
- Pytest
- AI/ML
- APIs
- Data pipelines
- Hardware integration
Qualifications
AI/ML knowledge
- Deep understanding of AI/ML concepts and their practical applications.
Philosophy and ethics
- Familiarity with philosophical concepts of knowledge, intelligence, and ethics.
Programming
- Fair programming skills, with a focus on Python and automated testing frameworks.
Analytical ability
- Exceptional analytical and problem-solving abilities, with a passion for tackling unprecedented challenges.
Communication
- Excellent communication skills, with the ability to articulate complex concepts and findings to both technical and non-technical stakeholders.
Ready to apply?
See the full job description and apply on LinkedIn.