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Quality Assurance Data Annotation Jobs (NOW HIRING)

... Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

... Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

They are seeking a meticulous Data Annotation Specialist responsible for creating, refining, and ... Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only ...

Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

... quality time. We have spent the last 18 months building a talented team, securing capital, and ... This role is about building and leading a world class in-house data annotation team that is able to ...

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How much do quality assurance data annotation jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for quality assurance data annotation in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.
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What cities are hiring for Quality Assurance Data Annotation jobs? Cities with the most Quality Assurance Data Annotation job openings:
What states have the most Quality Assurance Data Annotation jobs? States with the most job openings for Quality Assurance Data Annotation jobs include:
Infographic showing various Quality Assurance Data Annotation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.
Senior Manager of Quality Assurance, AIML Data Operations

Senior Manager of Quality Assurance, AIML Data Operations

Apple

Cupertino, CA • On-site

Full-time

Posted 24 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences - quickly. ..The AIML team is looking for a passionate, detail-obsessed Senior Manager of Quality Assurance to lead the QA function within our Data Annotation operations. This is a rare opportunity to directly shape the quality standards that underpin the intelligent systems used by hundreds of millions of people every day...You will lead a team of QA professionals, define and defend data quality standards, and champion a culture of rigorous, scalable quality assurance across global annotation workflows. If you thrive at the intersection of operational excellence, data quality, and cross-functional leadership - this role was built for you.
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will partner closely with Data Science, Engineering, and Operations leadership to ensure that data quality is not an afterthought - it is a foundation.You will manage and develop a team of QA specialists and leads, set clear quality metrics, and build scalable processes that grow with our annotation programs. Your decisions will have measurable, real-world impact on the performance of Apple Intelligence products.
Bachelor's degree in a relevant field (Computer Science, Linguistics, Data Science, Operations, or equivalent)8+ years of experience in quality assurance, data operations, or a related field10+ years of people management experience leading QA or data operations teamsDemonstrated experience defining and operating QA programs for data annotation or content labeling at scaleSolid understanding of AIML concepts, with practical knowledge of how data quality affects model performanceStrong analytical skills with experience using data to measure, communicate, and drive quality improvementsProfessional fluency in English; excellent written and verbal communication skills across all levels of an organizationAbility to travel internationally when required
Master's degree or advanced certification in a relevant disciplineExperience with annotation platforms and QA tooling (e.g., Label Studio, Scale AI, Surge, Toloka, or similar)Familiarity with inter-annotator agreement methodologies (Cohen's Kappa, Krippendorff's Alpha, etc.)Experience managing QA for multilingual or multimodal annotation datasetsTrack record of building or scaling QA programs in a globally distributed, vendor-augmented operating modelPassion for Apple Intelligence products and a deep appreciation for the role of data quality in user experienceExperience with statistical sampling techniques and quality auditing frameworksFamiliarity with RLHF (Reinforcement Learning from Human Feedback) data workflows

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976