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Content Qa Jobs (NOW HIRING)

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Content Qa information

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$29.5K

$116.6K

$129K

How much do content qa jobs pay per year?

As of Aug 6, 2026, the average yearly pay for content qa 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 is the difference between Content Qa vs Content Writer?

AspectContent QaContent Writer
Primary RoleReview and ensure content quality, accuracy, and complianceCreate, develop, and write content for various platforms
Skills & CertificationsAttention to detail, editing, quality assurance certificationsWriting skills, creativity, SEO knowledge
Work EnvironmentCollaborates with content teams, often in digital or marketing agenciesTypically works in marketing, media, or publishing industries
Common UsageFocuses on content accuracy and quality controlFocuses on content creation and storytelling

While Content Qa specialists focus on reviewing and ensuring the quality of content, Content Writers are responsible for creating original content. Both roles are essential in content production, but they serve different stages of the content lifecycle.

What are some common challenges faced by Content QA professionals in ensuring content accuracy across multiple platforms?

Content QA professionals often encounter challenges such as maintaining consistency and accuracy when content is published across different digital platforms. They must be vigilant in identifying formatting errors, broken links, and discrepancies in tone or branding. Additionally, coordinating with writers, designers, and developers to address issues promptly can be demanding, especially when handling large volumes of content under tight deadlines. Staying up-to-date with platform-specific guidelines and tools is also essential for effective quality assurance.

What does a Content QA do?

A Content QA (Quality Assurance) specialist is responsible for reviewing and testing digital content before it is published to ensure it meets quality standards. They check for issues such as typos, formatting errors, broken links, and compliance with brand guidelines. Content QAs typically collaborate with writers, editors, and developers to identify and resolve content issues, ensuring that the final output is accurate, consistent, and user-friendly. Their goal is to deliver error-free and high-quality content to the intended audience.

What are the key skills and qualifications needed to thrive as a Content QA?

To thrive as a Content QA, you need a keen eye for detail, strong language proficiency, and a solid understanding of content standards, typically supported by a degree in communications, English, or a related field. Familiarity with content management systems (CMS), QA tools, and issue tracking platforms like JIRA is often required. Excellent communication, problem-solving, and time management skills help a Content QA collaborate across teams and manage multiple priorities. These competencies ensure content accuracy, consistency, and quality, which are vital for maintaining brand reputation and user trust.
More about Content Qa jobs
What cities are hiring for Content Qa jobs? Cities with the most Content Qa job openings:
What states have the most Content Qa jobs? States with the most job openings for Content Qa jobs include:
Infographic showing various Content Qa job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.

Gujarati Linguistic QA Specialist (Remote)

Braintrust

Boston, MA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About this role

In this hourly, remote contractor role, you will work as a Gujarati Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Gujarati AI training projects. You will review AI-generated Gujarati content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and help ensure that all contributors follow the expected standards.
You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Gujarati and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the worldโ€™s largest AI companies and foundation-model labs. Your Gujarati quality leadership will directly help improve the worldโ€™s premier AI models by ensuring that Gujarati training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Your profile
  • Bachelorโ€™s or Masterโ€™s degree in Gujarati, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
  • Native or near-native Gujarati proficiency with strong reading and writing skills.
  • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
  • 3+ years of professional experience in Gujarati writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
  • Strong understanding of Gujarati grammar, spelling conventions, punctuation, tone, register, and cultural context.
  • Ability to evaluate Gujarati content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or inconsistent terminology.
  • Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
  • Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
  • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
  • Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Key responsibilities
  • Quality monitoring: Spot-check Gujarati items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
  • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
  • Question handling: Respond to trainer/QA questions clearly and promptly, especially around Gujarati wording, register, translation fidelity, cultural context, and edge cases.
  • Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
  • Documentation: Create and maintain Gujarati project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
  • Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Gujarati-specific style requirements.
  • Quality alignment: Ensure all trainers and QAs apply Gujarati language guidelines consistently and understand updates as projects evolve.
  • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Gujarati-language projects.