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Ai Content Evaluator Jobs (NOW HIRING)

Meta

AI Content Strategy Lead

San Francisco, CA · On-site

$182K/yr

Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models * Serve as a ...

Meta

AI Content Strategy Lead

Menlo Park, CA

$182K/yr

Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models * Serve as a ...

Meta

AI Content Strategy Lead

Chicago, IL · On-site

$182K/yr

Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models * Serve as a ...

Meta

AI Content Strategy Lead

New York, NY

$182K/yr

Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models * Serve as a ...

Meta

AI Content Strategy Lead

Austin, TX · On-site

$182K/yr

Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models * Serve as a ...

Flex

Lead, CS AI Content

New York, NY

About the role We're hiring a Lead, CS AI Content to own the content layer that powers Flex's AI ... Bonus: experience with chatbot authoring, AI evaluation, or support QA.

LlamaIndex

AI Content Engineer

San Francisco, CA · On-site

$150 - $210/hr

... technical content at high velocity. You will combine deep expertise in document AI with strong ... Experience building evaluation frameworks or benchmarks * Familiarity with OCR, layout analysis ...

LlamaIndex

AI Content Engineer

San Francisco, CA · On-site

$140K - $220K/yr

... technical content at high velocity. You will combine deep expertise in document AI with strong ... Experience building evaluation frameworks or benchmarks * Familiarity with OCR, layout analysis ...

RELX

Director of Case Law AI-Driven Content

$130K - $241K/yr

Translate editorial and legal requirements into clear AI content specifications, evaluation criteria, and success measures. * Define and track success metrics for AI-driven case law content ...

LexisNexis

Director of Case Law AI-Driven Content

$130K - $241K/yr

Translate editorial and legal requirements into clear AI content specifications, evaluation criteria, and success measures. * Define and track success metrics for AI-driven case law content ...

LexisNexis

Director of Case Law AI-Driven Content

$130K - $241K/yr

Translate editorial and legal requirements into clear AI content specifications, evaluation criteria, and success measures. * Define and track success metrics for AI-driven case law content ...

Innodata Inc.

AI Content - Flexible Hours

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... Evaluating the perceived quality and/or appropriateness of content * Generating labels to advance ...

Flex

Lead, CS AI Content

New York, NY · On-site

$92K - $115K/yr

The content you produce directly impacts containment, CSAT, and risk prevention. What you'll do ... Bonus: experience with chatbot authoring, AI evaluation, or support QA. Compensation Flex takes a ...

Team Red Dog

Content Quality Analyst 2

Redmond, WA · On-site

Microsoft 365 & AI Content Evaluation - Experience testing Microsoft 365 applications or similar productivity platforms, with the ability to evaluate AI-generated content for accuracy, usability ...

Innodata Inc.

AI Content Specialist - Flexible Hours

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... Evaluating the perceived quality and/or appropriateness of content * Generating labels to advance ...

HumanSignal

Content Creator (Flexible Gig)

Phoenix, AZ · On-site

$80/hr

Our customers ship better AI, faster, because we partner with their researchers from real-world ... evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally ...

LexisNexis

US Legal Editor, AI Content Updating

Contribute subject-matter insight to the testing, evaluation, and continuous improvement of AI tools used for content development and updating. * Contribute to cross-functional initiatives such as ...

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Ai Content Evaluator information

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$29.5K

$65.5K

$106.5K

How much do ai content evaluator jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai content evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is an AI content evaluator?

AI Content Evaluators are professionals who assess and review content generated by artificial intelligence systems to ensure quality, accuracy, and relevance. They analyze outputs like text, images, or audio to determine if the AI meets predefined guidelines and standards. These evaluators provide feedback to improve machine learning models and help detect biases, errors, or inappropriate content. Their work is vital in maintaining trustworthy and safe AI-generated content across various platforms.

What skills and qualifications are needed to be an AI content evaluator?

To succeed as an AI Content Evaluator, you generally need strong analytical skills, attention to detail, and a background in linguistics, communication, or a related field. Familiarity with content management systems, AI annotation tools, and sometimes certifications in data analysis or language proficiency are commonly required. Outstanding critical thinking, adaptability, and clear written communication help evaluators provide high-quality feedback and navigate evolving guidelines. These skills ensure that AI-generated content is accurate, relevant, and aligns with user expectations.

What are common challenges faced by AI content evaluators in ensuring content quality?

AI Content Evaluators often encounter challenges such as interpreting ambiguous or nuanced language, staying updated with evolving guidelines, and maintaining objectivity when reviewing varied content types. Because AI-generated outputs can vary widely in tone, accuracy, and relevance, evaluators must apply critical thinking and consistency in their assessments. Collaboration with team members and providing clear feedback to improve AI models are also crucial aspects of the role, ensuring that the technology continually evolves to meet quality standards.

What is the difference between Ai Content Evaluator vs Content Moderator?

AspectAi Content EvaluatorContent Moderator
CredentialsBasic understanding of AI tools, content policiesKnowledge of platform guidelines, communication skills
Work EnvironmentRemote, tech-focused, data-drivenRemote or on-site, social media or platform-based
Industry UsageTech companies, AI development teamsSocial media, online platforms, forums
Primary FocusEvaluating AI-generated content for accuracy and appropriatenessMonitoring and removing inappropriate or harmful content

While both roles involve content review, the Ai Content Evaluator primarily assesses AI-generated content for quality and compliance, often working with AI tools and data. Content Moderators focus on monitoring user-generated content to enforce platform policies and ensure community safety. Understanding these distinctions helps job seekers identify the right role based on their skills and interests.

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Cities with the most Ai Content Evaluator job openings:

What states have the most Ai Content Evaluator jobs?

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What job categories do people searching Ai Content Evaluator jobs look for?

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Ai Content Evaluator jobs near you
Infographic showing various Ai Content Evaluator job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

AI Content Strategy Lead

San Francisco, CA • On-site

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$182K/yr

Full-time

Posted 28 days ago

Job description

Content Strategy is evolving from a discipline that guides individual content experiences to one that shapes the systems through which content is created, governed, and scaled. Our AI content systems are already live. What's needed now is the strategic layer that ensures scale means better, not just more. As AI becomes embedded throughout the marketing ecosystem, organizations need new ways to ensure that strategic expertise is amplified and operationalized through technology.We are seeking an AI Content Strategy Lead to drive the vision and cross-functional alignment required to embed content strategy into AI-powered marketing systems. This is a highly strategic individual contributor role within Content Strategy that partners across Marketing Technology (including AI platform teams) and creative teams to ensure content expertise is embedded into AI-powered systems. The role will not directly manage teams or own AI platforms, but will influence and align stakeholders across organizations to ensure that strategic content expertise is represented within AI-enabled workflows and capabilities.The ideal candidate combines demonstrated AI product leadership with a deep understanding of how content strategy creates business value. They have experience translating strategic expertise into clear requirements that enable scalable systems, influencing outcomes through partners who own platform roadmaps, and driving organizational transformation through partnerships, vision, and execution.This role spans the full breadth of AI-generated marketing content, including copy, image, video, email, web, and advertising creative, in service of campaigns reaching millions of small business advertisers across scaled channels.
AI Content Strategy Lead Responsibilities:
  • Define and drive the long-term vision for how Content Strategy is operationalized through AI-powered marketing systems and workflows, including the strategic requirements that preserve critical human judgment and oversight
  • Partner with Marketing Technology teams to translate content strategy expertise into clear requirements, priorities, and success criteria that inform the AI platform's capabilities
  • Design the knowledge architecture that structures customer insights, brand voice, audience context, messaging frameworks, and campaign intelligence for real-time access by AI agents and content generation systems. Define how marketing expertise is stored, retrieved, and applied so that AI produces strategically sound, not just grammatically correct, output
  • Identify and recommend high-impact opportunities where AI can improve content quality, consistency, speed, and strategic alignment
  • Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models
  • Serve as a thought leader and advisor on the future of AI-enabled content strategy, helping to shape organizational direction and investment decisions
  • Measure and communicate the business impact of AI-enabled content systems, including improvements in quality, consistency, efficiency, and strategic fidelity

Minimum Qualifications:
  • 12+ years of experience in content strategy, content operations, content technology, AI product management, marketing technology, marketing strategy, or related disciplines
  • Track record of driving alignment and outcomes across multiple organizations without direct authority, particularly in environments where technology, strategy, and creativity intersect
  • Experience translating ambiguous business needs into clear strategic requirements and articulating them to technical and cross-functional partners to inform AI product roadmaps
  • Strong understanding of generative AI capabilities, limitations, governance considerations, and implementation patterns
  • Experience defining requirements or shaping product roadmaps for AI, content technology, or marketing automation platforms as a non-engineering stakeholder
  • Exceptional written and verbal communication skills, including experience in influencing leaders and executive stakeholders
  • Experience driving organizational change, workflow transformation, or technology adoption at scale

Preferred Qualifications:
  • Track record of defining new functions, operating models, or organizational capabilities in emerging technology domains
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience developing strategic plans and driving them through to implementation with measurable outcomes
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with AI agent architectures, marketing knowledge systems, or retrieval-augmented generation (RAG) patterns that enable AI to access brand, audience, and messaging context when generating content
  • Deep familiarity with content lifecycle management, content governance, and content quality evaluation frameworks
  • Experience in establishing measurement frameworks for AI effectiveness, content quality, and strategic alignment
  • Experience operating in large, matrixed organizations with shared ownership of technology platforms

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.
$182,000/year to $252,000/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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