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Data Labeling Quality Specialist Jobs (NOW HIRING)

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

We are seeking a dedicated Data Labeling Specialist to join our pioneering team in the AI and ... Maintain high throughput and consistent quality across large annotation batches. * Contribute ...

Medtronic

Labeling Specialist

Moundsview, MN

Maintain and optimize labeling data within enterprise labeling systems and databases, ensuring ... Ensure labeling artwork, proofs, and production deliverables meet regulatory, legal, quality, and ...

Medtronic

Labeling Specialist

Moundsview, MN · On-site

Maintain and optimize labeling data within enterprise labeling systems and databases, ensuring ... Ensure labeling artwork, proofs, and production deliverables meet regulatory, legal, quality, and ...

Medtronic

Labeling Specialist

Moundsview, MN · On-site

Maintain and optimize labeling data within enterprise labeling systems and databases, ensuring ... Ensure labeling artwork, proofs, and production deliverables meet regulatory, legal, quality, and ...

Agrana

Quality Specialist

Brecksville, OH · Remote

Safety Data Sheets (SDS) Documentation Lifecycle Management * Create, revise, review, approve, and ... Knowledge of food labeling, regulatory compliance, or specification management systems * Customer ...

Agrana

Quality Specialist

Brecksville, OH · On-site

Safety Data Sheets (SDS) Documentation Lifecycle Management * Create, revise, review, approve, and ... Knowledge of food labeling, regulatory compliance, or specification management systems * Customer ...

Coalition, Inc.

WV

$200K/yr

You'll own labeling quality and methodology across Coalition - designing annotation tasks, defining ... Identify and remediate mislabeled data in existing datasets. * Platform & tooling : Serve as the ...

Conservice

Data Quality Specialist

Logan, UT · On-site

$14.50/hr

Synergy Overview Our Data Quality Specialist thoroughly investigate inconsistencies on utility bills in order to provide accurate data for Sustainability Solutions clients. We value accountability ...

Conservice

Data Quality Specialist

River Heights, UT

$14.50/hr

Synergy Overview Our Data Quality Specialist thoroughly investigate inconsistencies on utility bills in order to provide accurate data for Sustainability Solutions clients. We value accountability ...

Aerotek

Quality Specialist

Melbourne, FL

Conduct visual inspections to verify product conformity, workmanship, labeling, and documentation ... Enter, review, and maintain quality data within electronic databases, spreadsheets, and document ...

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Data Labeling Quality Specialist information

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How much do data labeling quality specialist jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data labeling quality specialist in the United States is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.12 per hour, depending on experience, location, and employer.

What are some common challenges Data Labeling Quality Specialists face when ensuring high-quality labeled data?

Data Labeling Quality Specialists often encounter challenges such as inconsistent labeling guidelines, ambiguous data points, and maintaining high accuracy across large datasets. They must work closely with annotators, provide clear feedback, and regularly update documentation to address edge cases. Additionally, balancing speed and precision while meeting project deadlines requires strong attention to detail and effective communication within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Data Labeling Quality Specialist, and why are they important?

To thrive as a Data Labeling Quality Specialist, you need strong attention to detail, analytical abilities, and a solid understanding of data labeling processes, often supported by a background in computer science or related fields. Familiarity with data annotation tools, quality assurance systems, and platforms like Labelbox or Supervisely is typically required. Excellent communication, problem-solving, and collaboration skills help in providing feedback and ensuring consistency across labeling teams. These skills and qualities are crucial to maintain high data quality, which directly impacts the performance of machine learning models.

What is a Data Labeling Quality Specialist?

A Data Labeling Quality Specialist is responsible for ensuring the accuracy and consistency of data labeling processes, which are crucial for training machine learning models. They review, audit, and provide feedback on labeled data to maintain high-quality standards. Their work involves collaborating with data annotators, identifying errors or inconsistencies, and implementing guidelines to improve labeling performance. This role helps ensure that AI systems are trained on reliable and accurate datasets, which directly impacts model effectiveness.

What is the difference between Data Labeling Quality Specialist vs Data Annotator?

AspectData Labeling Quality SpecialistData Annotator
CredentialsTypically requires attention to detail, familiarity with labeling tools, and sometimes certifications in data managementUsually entry-level, with minimal formal credentials needed
Work EnvironmentWorks in data labeling platforms, quality assurance processes, often in tech or AI companiesPerforms labeling tasks, often in similar environments but with less focus on quality control
Industry UsageCommon in AI, machine learning, and data-driven companiesUsed across various industries including tech, healthcare, and automotive for data preparation

The Data Labeling Quality Specialist focuses on ensuring the accuracy and quality of labeled data, often overseeing labeling processes. In contrast, the Data Annotator primarily performs the actual labeling tasks. Both roles are essential in data preparation, but the specialist emphasizes quality control and standards.

More about Data Labeling Quality Specialist jobs
What cities are hiring for Data Labeling Quality Specialist jobs? Cities with the most Data Labeling Quality Specialist job openings:
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Data Labeling Quality Specialist jobs near you
Infographic showing various Data Labeling Quality Specialist job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $47,022 per year, or $22.6 per hour.

AI Data Labeling & Quality Specialist

TPI Global (formerly Tech Providers, Inc.)

Fort Mill, SC • On-site

$15.50 - $20.25/hr

Temporary

Re-posted 28 days ago

Job description


bilingual AI Data Labelling & Quality Specialist
3-6 Months possibility of conversion
Fort mill, SC (Remote role)
About the role:
  • We are seeking a bilingual AI Data Labelling & Quality Specialist to support the development of an AI-assisted sales system for our Home Services business.
  • This includes both a voice agent and tools for human sales agents, designed to deliver highly personalized customer journeys.
  • The ideal candidate will help improve our AI models by labelling ground-truth data, evaluating AI outputs, and providing structured feedback to enhance multilingual performance-in English and Spanish.

Responsibilities
  • Review, label, and categorize customer interaction data (audio and text) to create high-quality training datasets.
  • Evaluate AI/LLM outputs for accuracy, clarity, tone, and compliance with internal guidelines.
  • Provide detailed feedback to improve AI behaviors, dialog flows, and multilingual consistency.
  • Identify patterns, edge cases, and opportunities to increase the effectiveness of English and Spanish customer experiences.
  • Ensure data quality, confidentiality, and adherence to annotation standards.

Qualifications
  • Fluent in English and Spanish (spoken and written) with strong comprehension and communication skills.
  • Prior experience in data labelling, annotation, linguistics, QA, customer support, or AI training.
  • Familiarity with conversational AI, LLMs, or voice agents is a plus.
  • Strong attention to detail and ability to follow structured guidelines.
  • Comfortable working with productivity tools and web-based annotation platforms.
  • Ability to work independently, meet deadlines, and adapt to evolving requirements.

Meet Your Recruiter
Mohit Sharma

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