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Ai Content Engineer Jobs (NOW HIRING)

Instagram

Product Content Engineer

San Francisco, CA · On-site +1

$162K/yr

We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI ...

Instagram

Product Content Engineer

New York, NY · On-site +1

$162K/yr

We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI ...

Instagram

Product Content Engineer

Menlo Park, CA · On-site +1

$162K/yr

We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI ...

Baseten

Content Engineer

New York, NY · On-site +1

$95K - $115K/yr

By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable ... You'll contribute to our content strategy with a focus on identifying, experimenting, and executing ...

Meta

Product Content Engineer

Menlo Park, CA · On-site

$162K - $227K/yr

We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI ...

EPIC Brokers

Marketing Content Engineer

San Ramon, CA · On-site

The Marketing Content Engineer designs the workflows, governance, and modular content structures ... An AI-powered framework that produces high quality, compliant, on-brand content. * Efficient ...

Sendbird

Content Engineer

San Mateo, CA

$140K - $145K/yr

AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a ... How We Work Content is an engineering discipline here. We hold quality bars, build reusable ...

Orkes

Content Engineer

Cupertino, CA · On-site +1

$150K/yr

Experiment with modern content approaches, including AI-assisted workflows Community Engagement: * Engage with developers across channels (Slack, Discord, forums, etc.) * Answer questions, unblock ...

EPIC Brokers

Marketing Content Engineer

The Marketing Content Engineer designs the workflows, governance, and modular content structures ... An AI-powered framework that produces high quality, compliant, on-brand content. * Efficient ...

Sendbird

Content Engineer

San Mateo, CA · On-site

$140K - $145K/yr

AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a ... How We Work Content is an engineering discipline here. We hold quality bars, build reusable ...

Orkes

Content Engineer

Cupertino, CA · On-site

$150K/yr

Experiment with modern content approaches, including AI-assisted workflows Community Engagement: * Engage with developers across channels (Slack, Discord, forums, etc.) * Answer questions, unblock ...

Sendbird

Content Engineer

San Mateo, CA · On-site

$140K - $145K/yr

AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a ... How We Work Content is an engineering discipline here. We hold quality bars, build reusable ...

EPIC Brokers

Marketing Content Engineer

Chicago, IL · On-site

The Marketing Content Engineer designs the workflows, governance, and modular content structures ... An AI-powered framework that produces high quality, compliant, on-brand content. * Efficient ...

EPIC Brokers

Marketing Content Engineer

Atlanta, GA · On-site +1

The Marketing Content Engineer designs the workflows, governance, and modular content structures ... An AI-powered framework that produces high quality, compliant, on-brand content. * Efficient ...

EPIC Brokers

Marketing Content Engineer

Atlanta, GA · On-site

The Marketing Content Engineer designs the workflows, governance, and modular content structures ... An AI-powered framework that produces high quality, compliant, on-brand content. * Efficient ...

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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 6, 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:
What states have the most Ai Content Engineer jobs? States with the most job openings for Ai Content Engineer jobs include:
What job categories do people searching Ai Content Engineer jobs look for? The top searched job categories for Ai Content Engineer jobs are:
Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.
Product Content Engineer

Product Content Engineer

Instagram

San Francisco, CA • On-site, Remote

$162K/yr

Full-time

Posted 19 days ago

Job description

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of apps. We partner closely with product and technical teams to solve problems by providing content-centered solutions, setting standards of quality, and building the frameworks that ensure AI-powered experiences actually work for people. We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI evaluation, and the search and recommendation systems that power Meta's products: building the frameworks, rubrics, and pipelines that hold AI outputs to a high standard. You'll assess model behavior, identify where it falls short, and work cross-functionally with engineering, product, research, and data science teams to make it better.If you're energized by the opportunity to build better AI product experiences through rigorous evaluation, have experience navigating ambiguity by defining structure, prioritizing work, and driving clarity in evolving problem spaces, and apply sound editorial and analytical judgment to content quality decisions, we encourage you to apply.
Product Content Engineer Responsibilities:
  • Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences
  • Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments
  • Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve
  • Evaluate successive model releases through structured comparison, documenting what improved, what regressed, and what to prioritize next
  • Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance
  • Develop processes to track content quality and model performance over time and flag regressions
  • Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on
  • Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations

Minimum Qualifications:
  • 5+ years of experience working collaboratively with product, engineering, design, and user research teams
  • 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis
  • Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems
  • Demonstrated data analysis skills, with experience exploring data, identifying patterns, and producing actionable insights
  • Experience building new products or platform/ecosystem products
  • Critical thinking, experience leading data-driven analyses to inform product or content decisions, and experience communicating to executive leadership
  • Proven track record of cross-functional collaboration and delivering results in environments with evolving requirements and competing priorities

Preferred Qualifications:
  • Background in content strategy, information quality, or trust and safety
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with AI evaluation methods such as human eval, model-as-judge, A/B testing, or red-teaming
  • Experience building dashboards, scripts, or workflows that codify evaluation metrics
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with Python, SQL, or other tools for data analysis and evaluation automation
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • BA or BS in Computer Science, Data Science, Linguistics, or related field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$162,000/year to $227,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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