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$46

How much do content quality analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive in the Content Quality Analyst position, and why are they important?

To thrive as a Content Quality Analyst, you need a keen eye for detail, strong analytical abilities, and experience with content management or quality assurance, often backed by a relevant degree in communications or a similar field. Familiarity with tools such as content management systems (CMS), plagiarism checkers, grammar-checking software, and analytics dashboards is commonly required. Excellent communication, critical thinking, and collaboration skills help distinguish top performers in this role. These abilities are crucial for maintaining high standards, ensuring consistency, and enabling effective teamwork across editorial and digital content teams.

What are some typical day-to-day responsibilities of a Content Quality Analyst?

As a Content Quality Analyst, your daily responsibilities will include reviewing articles, videos, or digital assets for accuracy, clarity, and adherence to brand guidelines. You may also perform audits for grammar, style, and completeness, as well as flagging or correcting issues before publication. Collaboration is key, as you'll frequently coordinate with writers, editors, and content managers to address feedback and implement quality improvements. Additionally, you might generate reports on content performance or quality trends to help shape future editorial efforts. This role is ideal for those who enjoy detailed work and find satisfaction in ensuring content meets high standards.

What does a Content Quality Analyst do?

A Content Quality Analyst is responsible for evaluating and maintaining the accuracy, consistency, and overall quality of digital content. They review content for grammar, compliance with guidelines, and alignment with brand voice. Their role may include auditing content performance, analyzing user feedback, and suggesting improvements. They often collaborate with writers, editors, and other stakeholders to enhance content quality and user experience.

What does a content quality analyst do?

A content quality analyst reviews and evaluates digital content to ensure it meets quality standards, accuracy, and consistency. They often use tools like content management systems and may analyze data to identify areas for improvement, ensuring content aligns with brand guidelines and audience needs.

What jobs will boom in 2026?

Content Quality Analysts are expected to see increased demand as companies prioritize high-quality digital content and user experience. Skills in data analysis, content review, and familiarity with content management systems will be valuable, with growth driven by expanding online platforms and digital marketing efforts.

Is QC a high paying job?

A Content Quality Analyst typically earns a moderate salary that varies based on experience, location, and industry. While it may not be among the highest-paying roles, experienced analysts with specialized skills or certifications can earn higher wages. Overall, it is considered a mid-level position in the content and quality assurance field.

What jobs in the US pay 300,000 a year?

For a Content Quality Analyst, earning $300,000 annually is uncommon; such high salaries are typically associated with executive roles, senior management, or specialized positions in fields like technology, finance, or healthcare. These roles often require extensive experience, advanced skills, and sometimes certifications, and may include bonuses or stock options that contribute to total compensation.
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What cities are hiring for Content Quality Analyst jobs? Cities with the most Content Quality Analyst job openings:
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What states have the most Content Quality Analyst jobs? States with the most job openings for Content Quality Analyst jobs include:
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Content Quality Analyst jobs near you
Infographic showing various Content Quality Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 49% Full Time, 19% Part Time, and 30% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,488 per year, or $28.6 per hour.
Project Perseus \u007C Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Seattle, WA

$38/hr

Full-time

Posted 21 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.