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Remote Content Quality Analyst Jobs (NOW HIRING)

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Product Content Engineer

San Francisco, CA · On-site +1

$162K/yr

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

Instagram

Product Content Engineer

New York, NY · On-site +1

$162K/yr

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

Guild

Sr IT QA Data Quality Analyst

$82K - $130K/yr

Analyze data content and identify gaps in metadata, reference data, standardization, business rules, and data quality controls. * Work with members of the Data Engineering, DataOps, DevOps, BI ...

Instagram

Product Content Engineer

Menlo Park, CA · On-site +1

$162K/yr

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

Classet

Social Media Content Creator

$80K - $100K/yr

Remote Schedule: Full-Time Pay Rate: $80,000 - $100,000 per year Employment Type: Full-Time ... Maintain strong attention to detail and content quality standards Requirements * 1+ year of ...

Ryde Technologies, LLC

Q/A Analyst

Phoenix, AZ · Remote

Quality Analyst (Manual & Automation) Overview We are seeking a detail-oriented Quality Analyst to ... Remote work environment * Standard business hours, with occasional extended hours or weekends based ...

Aquent

Content Automation Specialist

Redmond, WA · On-site +1

$37 - $42/hr

Are you ready to revolutionize content quality validation across diverse digital experiences? This ... Analyze complex testing metrics and operational data to pinpoint critical improvement opportunities.

Dewberry

Geospatial Quality Analyst

Fairfax, VA · On-site +1

Dewberry is currently seeking a Quality Analyst to support operations within our Geospatial ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

Dewberry

Geospatial Quality Analyst

Tampa, FL · On-site +1

Dewberry is currently seeking a Quality Analyst to support operations within our Geospatial ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

DecisionPoint | Cortek

Digital QA Analyst

This position is fully remote. Duties & Responsibilities The Digital QA Analyst will: * Perform daily verification of content updates across MC&FP digital platforms. * Validate links, page rendering ...

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Remote Content Quality Analyst information

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How much do remote content quality analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote content quality analyst in the United States is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $31.97 per hour, depending on experience, location, and employer.

What does a remote content quality analyst do?

A Remote Content Quality Analyst is responsible for reviewing digital content to ensure it meets specific quality, accuracy, and compliance standards. They evaluate text, images, videos, or other media for consistency, relevance, and adherence to company or client guidelines. Working remotely, they use various tools to assess, edit, and provide feedback on content, often collaborating with content creators and managers to improve overall quality. This role helps ensure that published materials align with brand voice and regulatory requirements.

What are the key skills and qualifications needed to thrive as a remote content quality analyst?

To thrive as a Remote Content Quality Analyst, you need strong analytical skills, attention to detail, and a background in content creation or editing, often supported by a bachelor's degree in communications, English, or a related field. Familiarity with content management systems (CMS), quality assurance tools, and knowledge of SEO best practices are typically required. Excellent written communication, critical thinking, and the ability to work independently are standout soft skills for this role. These skills ensure the delivery of high-quality, consistent, and optimized content that meets organizational standards and enhances user experience.

What are some common challenges faced by remote content quality analysts, and how can they be addressed?

Remote Content Quality Analysts often encounter challenges such as maintaining consistent communication with team members, adapting to evolving content standards, and managing time effectively without direct supervision. To overcome these, it's important to utilize collaboration tools, stay updated on guidelines through regular training, and establish a structured daily routine. Additionally, proactive communication with editors and content creators helps ensure clarity and alignment on expectations, which leads to higher quality outcomes.

What is the difference between Remote Content Quality Analyst vs Remote Content Moderator?

AspectRemote Content Quality AnalystRemote Content Moderator
Primary RoleAssess and improve content quality, ensure compliance with guidelines, analyze content performanceReview and remove inappropriate or harmful content, enforce community standards
Skills & CertificationsAnalytical skills, content guidelines knowledge, attention to detailKnowledge of platform policies, quick decision-making, communication skills
Work EnvironmentData analysis, reporting, collaboration with content teamsReal-time content review, moderation tasks, often in shifts

While both roles involve content review, the Remote Content Quality Analyst focuses on evaluating and improving content quality through analysis, whereas the Remote Content Moderator primarily reviews content to enforce community standards and remove harmful material. The analyst role is more data-driven, while moderation is more reactive and operational.

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Remote Content Quality Analyst jobs near you
Infographic showing various Remote Content Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,488 per year, or $28.6 per hour.

Product Content Engineer

Instagram

San Francisco, CA • On-site, Remote

$162K/yr

Full-time

Re-posted 3 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)

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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