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Content Optimization Specialist II
RELXKnowable AI specialist translating commercial contract expertise into production LLM workflows. Supporting LexisNexis legal-information and analytics solutions with evaluation, governance, and operational adoption.
Posted 9/3/2026full-timeRemote • Alabama, Alaska, Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesMid-LevelSenior💰 $86,600 - $144,400 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applying Generative AI and LLM tools to legal contexts, particularly in contract intelligence and management. Capable of translating complex legal reasoning into structured outputs and integrating AI capabilities into operational workflows.
Highest-signal resume keywords
Generative AI FluencyLLM Tool ProficiencyContract Intelligence ExperienceLegal Practice ExpertiseCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt DesignStructured Output DevelopmentLegal Judgment TranslationContract AnalyticsEvidence ValidationRisk AssessmentClause Variation AnalysisSchema DevelopmentDecision Tree CreationModel Evaluation
Soft Skills
Training SupportPerformance Monitoring
Tools & Technologies
Contract Management PlatformsLLM-Powered WorkflowsAI Capabilities Integration
Industry Keywords
Contract ReviewLegal TechnologyLegal OperationsCommercial Contract AnalysisVendor AgreementsProcurement ContractsNon-Disclosure AgreementsAmendmentsGovernanceDocumentation
About the role
Key responsibilities & impact- Define high-impact use cases for applying LLMs to contract intelligence
- Formulate prompts and guidance, recognize failure patterns, and handle exceptions
- Translate legal reasoning into prompt architectures, structured output schemas, and evidence-grounded extraction requirements
- Partner with Engineering and Data Science to move AI capabilities from prototype to production
- Convert reviewer guidance, clause libraries, and data models into LLM-compatible specifications
- Design approaches for ambiguity, negotiated clause variants, and edge cases
- Build evaluation frameworks for accuracy, completeness, hallucination detection, evidence validation, and consistency
- Integrate GenAI capabilities into operational workflows
- Support adoption, training, and performance monitoring
- Serve as an AI-fluent legal domain expert and contribute to governance, documentation, and release readiness
Requirements
What you’ll need- Experience in legal practice, contract review, contract intelligence, contract management, legal technology, or legal operations
- Demonstrated fluency with Generative AI and LLM tools, including prompt design, structured outputs, grounding strategies, and model evaluation
- Experience deploying LLM-powered workflows into production environments
- Prior experience with contract analytics or contract intelligence platforms
- Deep expertise in commercial contract analysis, including vendor agreements, procurement contracts, NDAs, and amendments
- Ability to assess legal equivalence, materiality, and risk implications across clause variations
- Experience translating legal judgment into structured systems such as schemas, taxonomies, rubrics, and decision trees
- Ability to work cross-functionally with Product, Engineering, Data Science, and Operations stakeholders
Benefits
Comp & perks- Annual incentive bonus eligibility
- Wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Flexible working hours
- Country-specific benefits
- Disability and other hiring-process accommodations