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RELX

AI Optimization Lead

RELX is hiring an AI Optimization Lead. It pays $95k-$159k a year and Level rates it ; you can apply on RELX.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include NLP, AI safety and artificial intelligence.
  • Level classifies it as a lead role.
  • Level lists 790 other open roles at RELX.

AI in this role

Drive the integration of AI and automation into global content operations and metadata workflows at LexisNexis.

nlpai-safetyartificial-intelligenceautomationcontent-operationsworkflow-optimizationgenerative-ai

Are you passionate about applying AI and automation to transform content operations at scale?

Do you enjoy partnering with global teams to turn innovative ideas into impactful, data-driven solutions?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

We are seeking an innovative AI Content Optimization Lead to drive the integration of AI and automation into global content operations and metadata workflows. In this role, you will partner with cross-functional and global teams to identify opportunities, develop strategies, and deliver scalable solutions that enhance quality, speed, and consistency.

Responsibilities

  • Identify, assess, and prioritize opportunities to apply AI and automation to streamline editorial, metadata, and content operations workflows across global operations teams to improve speed, quality, scalability, and consistency across global teams.

  • Support the development and execution of strategies for AI-assisted and automated Global News & Business Content Operations and Metadata workflows, ensuring alignment with business goals and market demands

  • Collaborate with cross-functional teams, including product strategy, product management, engineering, business analysts, subject matter experts, and project management to prioritize opportunities and execute on AI and automation content optimization from ideation to deployment on a global scale.

  • Review proposed approaches and designs to ensure alignment and organizational standards, governance, and quality expectations.

  • Oversee the integration of AI and automation solutions for global deployment.

  • Create progress reports and communicate updates and outcomes to internal teams, senior leadership, and key stakeholders, using data to provide clear insights and support decision-making

  • Stay informed of industry trends, emerging technologies, competitive intelligence, and best practices in AI and automation, with a focus on global applications

  • Drive continuous improvement by capturing updated processes and communicating lessons learned.

Requirements

  • Bachelors degree preferred

  • Experience in content operations, project management, or product development

  • Bachelors degree preferred

  • Extensive experience in news, business or entity content

  • Experience utilizing AI/automation in content optimization

  • Proven ability to work independently, collaboratively, and lead global cross-functional projects consisting of both employees and offshore partners in multiple locations and time zones

  • Proven track record of delivering complex projects on time and within budget, preferably in a global context

  • Proficient in AI technologies, such as large language models (LLMs), natural language processing (NLP) techniques, and machine learning applications

  • Highly proficient in data analysis and performance metrics, with the ability to report insights and progress to stakeholders

  • Excellent communication skills, with the ability to collaborate effectively across departments and global teams. Proven ability to provide both detailed information and summarize to a management level.

Work in a Way That Works for You

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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How we rate this

AI Optimization Lead at RELX rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPAI SafetyArtificial IntelligenceAutomationContent OperationsWorkflow OptimizationGenerative AI

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. Tell me about a project where artificial intelligence was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where content operations was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: NLP, AI Safety, Artificial Intelligence, Automation, and Content Operations. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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