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Ai Content Engineer Jobs (NOW HIRING)

Meta

Lead, Product Content Engineering

New York, NY

$193K/yr

... AI capabilities at all levels.Meta's Product Content Engineering team is responsible for the ... The ideal Content Engineer has technical expertise combined with a capacity to drive change in ...

Meta

Lead, Product Content Engineering

Menlo Park, CA

$193K/yr

... AI capabilities at all levels.Meta's Product Content Engineering team is responsible for the ... The ideal Content Engineer has technical expertise combined with a capacity to drive change in ...

Meta

Lead, Product Content Engineering

Menlo Park, CA · On-site

$193K - $269K/yr

The ideal Content Engineer has technical expertise combined with a capacity to drive change in ... AI creator tools, content quality, content understanding and Search. • Understand technical ...

Meta

Director, Product Content Engineering

Menlo Park, CA · On-site

$242K - $296K/yr

The ideal Content Engineer has technical expertise combined with a capacity to drive change in ... AI creator tools, content quality, content understanding and Search; • Understand technical ...

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All JobsAi Content Engineer Jobs

Ai Content Engineer information

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$29.5K

$116.6K

$129K

How much do ai content engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for ai content engineer in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

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.

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, and why are they important?

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.
More about Ai Content Engineer jobs
What cities are hiring for Ai Content Engineer jobs? Cities with the most Ai Content Engineer job openings:
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Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.
Content Engineer, Developer Documentation

Content Engineer, Developer Documentation

Nvidia

Santa Clara, CA

$144K - $150K/yr

Full-time

Posted 10 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people!

We're looking for a Documentation Engineer / Technical Writer who owns documentation end-to-end as a product, not just as content. This is a unique role for someone who can ship excellent developer documentation and also build/maintain the documentation toolchain (docs-as-code, site build, CI checks, automation), so docs quality scales with product velocity. This role is hands-on and technical, with deep multi-functional partnership. You will influence tooling, workflows, and standards, not just author pages. You will see features early, validate them in practice, and translate that into clear, usable documentation that developers trust!

What you will be doing:

  • Own documentation for assigned products from initial requirements through publication and long-term maintenance, including getting started guides, conceptual docs, SDK and API references, examples, and troubleshooting.

  • Work closely with engineers, product managers, QA, and support to extract technical knowledge, validate accuracy, and ensure documentation is ready when features ship.

  • Build and evolve our docs-as-code platform, improving repository structure, build and publish workflows, templates, and CI checks. This includes automating reference documentation where possible and adding guardrails that prevent defects from recurring.

  • You will continuously identify documentation gaps, broken flows, and quality issues, and drive them to closure through both content fixes and tooling improvements.

  • This is a unique role spanning Documentation, Developer Experience, and Platform Engineering. Expect a mix of forward-looking design and hands-on execution: writing content, contributing code, improving CI, and refining documentation workflows.

What we need to see:

  • A bachelor's degree or equivalent experience, with a proven track record in technical writing, documentation engineering, or developer documentation roles.

  • 5+ years of overall experience

  • Comfortably working in docs-as-code environments using Git-based workflows, Markdown or reStructuredText, and modern documentation platforms such as Fern or similar systems.

  • Ability to collaborate with deeply technical partners, work independently, balance priorities, and take full ownership of documentation outcomes across multiple repositories.

  • Excellent editing, information architecture, and content design skills, paired with enough technical depth to validate examples and workflows.

Ways to stand out from the crowd

  • Experience documenting APIs, SDKs, developer workflows, or infrastructure-level products.

  • Experience extending or maintaining large-scale documentation platforms, static site generators, or custom doc tooling. (Sphinx, Fern, etc)

  • Basic scripting or automation experience, for example, Python or JavaScript, applied to documentation pipelines, validation, or reference generation.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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