AI Research Scientist

• Design and build the knowledge graph and underlying knowledge model for Pearson’s K–12 assessment and learning domains
• Represent standards, competencies, skills, claims, evidence, task characteristics, misconceptions, content, and relationships as computationally usable structures
• Establish identity, versioning, provenance, lineage, and lifecycle status for knowledge objects
• Separate authoritative knowledge, expert judgments, derived information, and machine-generated hypotheses
• Evaluate and select graph and semantic technologies
• Build pipelines, mappings, and synchronization processes connecting item banks, standards, metadata, psychometric data, and other sources
• Develop schemas, APIs, data contracts, and services for applications, agents, and analytics
• Integrate the knowledge layer into the assessment authoring system with software engineers
• Design graph, semantic, vector, and hybrid retrieval and context architectures for AI systems
• Create task-specific knowledge projections and maintain traceability between AI outputs and source knowledge
• Collaborate with Applied AI Systems Engineers on generative, predictive, agentic, and analytic capabilities
• Prototype rapidly, test assumptions empirically, evaluate emerging approaches, and make architectural decisions explicit
• Design transparent, auditable, and traceable AI reasoning systems
• Establish quality, coverage, and consistency measures for knowledge assets
• Uphold privacy, security, access control, and appropriate use of student and content data
• Collaborate with Technology, AI Science, software engineering, psychometrics, learning science, content development, and subject-matter experts
• Communicate complex architectural concepts to technical and non-technical audiences

Explore Lead Specialist, AI Scientist at Pearson VUE. Review requirements and application details.