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Ai Content Engineer Jobs in Ohio (NOW HIRING)

AI Optimization Lead

Springboro, OH · On-site

$95K - $158K/yr

... 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 ...

... 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 ...

AI Optimization Lead

Dayton, OH · On-site

$95K - $158K/yr

... 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 ...

AI Optimization Lead

Springboro, OH · On-site

$95K - $158K/yr

... 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 ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI; * Collect ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Identify and document AI-specific threats with emphasis on how vendor controls (gateways, content ... AI Defense Engineering - Evaluate and operationalize security controls, guardrails, and enforcement ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Identify and document AI-specific threats with emphasis on how vendor controls (gateways, content ... AI Defense Engineering - Evaluate and operationalize security controls, guardrails, and enforcement ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Identify and document AI-specific threats with emphasis on how vendor controls (gateways, content ... AI Defense Engineering - Evaluate and operationalize security controls, guardrails, and enforcement ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI; * Collect ...

... content. Key Responsibilities: Cloud Infrastructure & DevOps: • Provision, configure, and manage ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as ... engineering experience, including recent hands-on work with LLMs or AI-powered applications ...

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Showing results 1-20

Ai Content Engineer information

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

Is AI Content Engineer still in demand?

AI Content Engineers are in high demand as organizations seek professionals skilled in developing and managing AI-driven content systems. The role requires knowledge of machine learning, natural language processing, and content management tools, with job growth expected to continue as AI integration expands across industries.

What are popular job titles related to Ai Content Engineer jobs in Ohio?

For Ai Content Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ai Content Engineer jobs in Ohio look for?

The top searched job categories for Ai Content Engineer jobs in Ohio are:

What cities in Ohio are hiring for Ai Content Engineer jobs?

Cities in Ohio with the most Ai Content Engineer job openings:

Infographic showing various Ai Content Engineer job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Optimization Lead

RELX Group plc

Springboro, OH • On-site

$95K - $158K/yr

Full-time

Re-posted 2 days ago


Job description

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.
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